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Younes E.

@eloiarmyouness9

1,5
3
3,2
3,2
100%

Data Scientist & Web Scraper

$15 USD / Time
・
Flag for
Morocco (5:58 AM)
・
Tilmeldt januar 18, 2021
$15 USD / Time
・
Data Science Expert | Python & R Master | Web Scraping Guru Dive into the world of data with a seasoned professional! With over 5 years of hands-on experience, I am your go-to expert for everything data-related. Data Science & Analysis: Uncover valuable insights, patterns, and trends in your data. Let me transform your raw data into actionable intelligence that propels your business forward. Python & R Mastery: Fluent in the language of data, I wield the power of Python and R to craft elegant solutions. From predictive modeling to complex analytics, I bring your data to life. Web Scraping Virtuoso: Extracting gold from the vast web? Count me in! I specialize in scraping data from challenging sources, turning the web into your personalized data playground. Tools of the Trade: Whether it's pandas, NumPy, scikit-learn, or tidyverse, I navigate the data science toolbox with finesse, ensuring top-notch results every time. Results-Driven: Your success is my priority. Expect not just analysis but actionable insights that drive strategic decisions and elevate your projects. Let's embark on a data-driven journey together!
Verifikationer
Til tiden
11 %
Indenfor budgettet
11 %
Accept andel
100 %
Genansættelse andel
20 %
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11630709
I specialize in the accurate conversion of screenshot PDFs to Word documents, ensuring a flawless transition of visual content to editable formats. With a meticulous eye for detail and a commitment to maintaining 100% accuracy, I employ advanced tools and quality assurance techniques to deliver high-quality, error-free document conversions. As a Document Conversion Specialist, I play a crucial role in upholding data integrity and usability across diverse projects, showcasing my dedication to precision in document transformation.
Document Conversion Specialist PDF to Word
I specialize in the accurate conversion of screenshot PDFs to Word documents, ensuring a flawless transition of visual content to editable formats. With a meticulous eye for detail and a commitment to maintaining 100% accuracy, I employ advanced tools and quality assurance techniques to deliver high-quality, error-free document conversions. As a Document Conversion Specialist, I play a crucial role in upholding data integrity and usability across diverse projects, showcasing my dedication to precision in document transformation.
Document Conversion Specialist PDF to Word
I specialize in the accurate conversion of screenshot PDFs to Word documents, ensuring a flawless transition of visual content to editable formats. With a meticulous eye for detail and a commitment to maintaining 100% accuracy, I employ advanced tools and quality assurance techniques to deliver high-quality, error-free document conversions. As a Document Conversion Specialist, I play a crucial role in upholding data integrity and usability across diverse projects, showcasing my dedication to precision in document transformation.
Document Conversion Specialist PDF to Word
11572737
The Unstructured PDF to Excel Converter project addresses the challenge of extracting information from unstructured PDF documents and transforming it into organized Excel files. Unlike structured PDFs with defined tables, unstructured PDFs often contain textual data without a clear format. This tool employs advanced algorithms to intelligently extract relevant information, converting it into a structured Excel format. Whether dealing with invoices, contracts, or other free-form PDF content, this converter empowers users to efficiently extract, organize, and analyze data with minimal manual intervention.
Unstructured PDF to Excel Converter
The Unstructured PDF to Excel Converter project addresses the challenge of extracting information from unstructured PDF documents and transforming it into organized Excel files. Unlike structured PDFs with defined tables, unstructured PDFs often contain textual data without a clear format. This tool employs advanced algorithms to intelligently extract relevant information, converting it into a structured Excel format. Whether dealing with invoices, contracts, or other free-form PDF content, this converter empowers users to efficiently extract, organize, and analyze data with minimal manual intervention.
Unstructured PDF to Excel Converter
The Unstructured PDF to Excel Converter project addresses the challenge of extracting information from unstructured PDF documents and transforming it into organized Excel files. Unlike structured PDFs with defined tables, unstructured PDFs often contain textual data without a clear format. This tool employs advanced algorithms to intelligently extract relevant information, converting it into a structured Excel format. Whether dealing with invoices, contracts, or other free-form PDF content, this converter empowers users to efficiently extract, organize, and analyze data with minimal manual intervention.
Unstructured PDF to Excel Converter
The Unstructured PDF to Excel Converter project addresses the challenge of extracting information from unstructured PDF documents and transforming it into organized Excel files. Unlike structured PDFs with defined tables, unstructured PDFs often contain textual data without a clear format. This tool employs advanced algorithms to intelligently extract relevant information, converting it into a structured Excel format. Whether dealing with invoices, contracts, or other free-form PDF content, this converter empowers users to efficiently extract, organize, and analyze data with minimal manual intervention.
Unstructured PDF to Excel Converter
The Unstructured PDF to Excel Converter project addresses the challenge of extracting information from unstructured PDF documents and transforming it into organized Excel files. Unlike structured PDFs with defined tables, unstructured PDFs often contain textual data without a clear format. This tool employs advanced algorithms to intelligently extract relevant information, converting it into a structured Excel format. Whether dealing with invoices, contracts, or other free-form PDF content, this converter empowers users to efficiently extract, organize, and analyze data with minimal manual intervention.
Unstructured PDF to Excel Converter
11570665
The Stock Analysis Web App is a user-friendly tool for visualizing and analyzing stock market data. Utilizing Flask and Plotly, it offers dynamic candlestick charts with overlays of moving averages, Bollinger Bands, RSI, and MACD. The app provides valuable insights into price trends, trading signals, and volume patterns, empowering users for informed decision-making. Key Features: Dynamic candlestick chart with overlays. Moving averages, Bollinger Bands, RSI, and MACD indicators. Volume chart for trading activity. Responsive design for easy use on various devices. Technologies: Flask Plotly yfinance (Yahoo Finance API)
Stock Analysis Web App
The Stock Analysis Web App is a user-friendly tool for visualizing and analyzing stock market data. Utilizing Flask and Plotly, it offers dynamic candlestick charts with overlays of moving averages, Bollinger Bands, RSI, and MACD. The app provides valuable insights into price trends, trading signals, and volume patterns, empowering users for informed decision-making. Key Features: Dynamic candlestick chart with overlays. Moving averages, Bollinger Bands, RSI, and MACD indicators. Volume chart for trading activity. Responsive design for easy use on various devices. Technologies: Flask Plotly yfinance (Yahoo Finance API)
Stock Analysis Web App
The Stock Analysis Web App is a user-friendly tool for visualizing and analyzing stock market data. Utilizing Flask and Plotly, it offers dynamic candlestick charts with overlays of moving averages, Bollinger Bands, RSI, and MACD. The app provides valuable insights into price trends, trading signals, and volume patterns, empowering users for informed decision-making. Key Features: Dynamic candlestick chart with overlays. Moving averages, Bollinger Bands, RSI, and MACD indicators. Volume chart for trading activity. Responsive design for easy use on various devices. Technologies: Flask Plotly yfinance (Yahoo Finance API)
Stock Analysis Web App
The Stock Analysis Web App is a user-friendly tool for visualizing and analyzing stock market data. Utilizing Flask and Plotly, it offers dynamic candlestick charts with overlays of moving averages, Bollinger Bands, RSI, and MACD. The app provides valuable insights into price trends, trading signals, and volume patterns, empowering users for informed decision-making. Key Features: Dynamic candlestick chart with overlays. Moving averages, Bollinger Bands, RSI, and MACD indicators. Volume chart for trading activity. Responsive design for easy use on various devices. Technologies: Flask Plotly yfinance (Yahoo Finance API)
Stock Analysis Web App
The Stock Analysis Web App is a user-friendly tool for visualizing and analyzing stock market data. Utilizing Flask and Plotly, it offers dynamic candlestick charts with overlays of moving averages, Bollinger Bands, RSI, and MACD. The app provides valuable insights into price trends, trading signals, and volume patterns, empowering users for informed decision-making. Key Features: Dynamic candlestick chart with overlays. Moving averages, Bollinger Bands, RSI, and MACD indicators. Volume chart for trading activity. Responsive design for easy use on various devices. Technologies: Flask Plotly yfinance (Yahoo Finance API)
Stock Analysis Web App
11569052
My project focuses on leveraging the fast.ai model to detect breast cancers in screening mammograms. Utilizing advanced machine learning techniques, specifically tailored by fast.ai, the goal is to enhance the accuracy and efficiency of breast cancer detection from mammographic images. This project contributes to the field of medical image analysis by harnessing cutting-edge technology to improve the early identification of breast cancers during routine screenings.
Fast.ai-Powered Breast Cancer Detection in Screening Mammogr
My project focuses on leveraging the fast.ai model to detect breast cancers in screening mammograms. Utilizing advanced machine learning techniques, specifically tailored by fast.ai, the goal is to enhance the accuracy and efficiency of breast cancer detection from mammographic images. This project contributes to the field of medical image analysis by harnessing cutting-edge technology to improve the early identification of breast cancers during routine screenings.
Fast.ai-Powered Breast Cancer Detection in Screening Mammogr
My project focuses on leveraging the fast.ai model to detect breast cancers in screening mammograms. Utilizing advanced machine learning techniques, specifically tailored by fast.ai, the goal is to enhance the accuracy and efficiency of breast cancer detection from mammographic images. This project contributes to the field of medical image analysis by harnessing cutting-edge technology to improve the early identification of breast cancers during routine screenings.
Fast.ai-Powered Breast Cancer Detection in Screening Mammogr
My project focuses on leveraging the fast.ai model to detect breast cancers in screening mammograms. Utilizing advanced machine learning techniques, specifically tailored by fast.ai, the goal is to enhance the accuracy and efficiency of breast cancer detection from mammographic images. This project contributes to the field of medical image analysis by harnessing cutting-edge technology to improve the early identification of breast cancers during routine screenings.
Fast.ai-Powered Breast Cancer Detection in Screening Mammogr
My project focuses on leveraging the fast.ai model to detect breast cancers in screening mammograms. Utilizing advanced machine learning techniques, specifically tailored by fast.ai, the goal is to enhance the accuracy and efficiency of breast cancer detection from mammographic images. This project contributes to the field of medical image analysis by harnessing cutting-edge technology to improve the early identification of breast cancers during routine screenings.
Fast.ai-Powered Breast Cancer Detection in Screening Mammogr
My project focuses on leveraging the fast.ai model to detect breast cancers in screening mammograms. Utilizing advanced machine learning techniques, specifically tailored by fast.ai, the goal is to enhance the accuracy and efficiency of breast cancer detection from mammographic images. This project contributes to the field of medical image analysis by harnessing cutting-edge technology to improve the early identification of breast cancers during routine screenings.
Fast.ai-Powered Breast Cancer Detection in Screening Mammogr
11554505
I successfully executed a comprehensive web scraping project focused on extracting detailed statistics from the official Australian Football League website (https://aleagues.com.au/). The goal was to gather in-depth insights into various aspects of football matches, covering general statistics, distribution, attack, defense, and discipline. Key Features: Data Extraction: Utilized web scraping techniques to extract 88 key columns of data for each match, including essential details such as date, rounds, team names, and match results. Outcome: The successfully scraped and organized dataset now serves as a foundation for detailed analytical studies. The information extracted includes team dynamics, player performances, and match trends, contributing to a richer understanding of the Australian Football League. Feel free to explore the attached sample reports or contact me for further details on this project.
Web Scraping and Analysis of Australian Football League Data
I successfully executed a comprehensive web scraping project focused on extracting detailed statistics from the official Australian Football League website (https://aleagues.com.au/). The goal was to gather in-depth insights into various aspects of football matches, covering general statistics, distribution, attack, defense, and discipline. Key Features: Data Extraction: Utilized web scraping techniques to extract 88 key columns of data for each match, including essential details such as date, rounds, team names, and match results. Outcome: The successfully scraped and organized dataset now serves as a foundation for detailed analytical studies. The information extracted includes team dynamics, player performances, and match trends, contributing to a richer understanding of the Australian Football League. Feel free to explore the attached sample reports or contact me for further details on this project.
Web Scraping and Analysis of Australian Football League Data
I successfully executed a comprehensive web scraping project focused on extracting detailed statistics from the official Australian Football League website (https://aleagues.com.au/). The goal was to gather in-depth insights into various aspects of football matches, covering general statistics, distribution, attack, defense, and discipline. Key Features: Data Extraction: Utilized web scraping techniques to extract 88 key columns of data for each match, including essential details such as date, rounds, team names, and match results. Outcome: The successfully scraped and organized dataset now serves as a foundation for detailed analytical studies. The information extracted includes team dynamics, player performances, and match trends, contributing to a richer understanding of the Australian Football League. Feel free to explore the attached sample reports or contact me for further details on this project.
Web Scraping and Analysis of Australian Football League Data
I successfully executed a comprehensive web scraping project focused on extracting detailed statistics from the official Australian Football League website (https://aleagues.com.au/). The goal was to gather in-depth insights into various aspects of football matches, covering general statistics, distribution, attack, defense, and discipline. Key Features: Data Extraction: Utilized web scraping techniques to extract 88 key columns of data for each match, including essential details such as date, rounds, team names, and match results. Outcome: The successfully scraped and organized dataset now serves as a foundation for detailed analytical studies. The information extracted includes team dynamics, player performances, and match trends, contributing to a richer understanding of the Australian Football League. Feel free to explore the attached sample reports or contact me for further details on this project.
Web Scraping and Analysis of Australian Football League Data
I successfully executed a comprehensive web scraping project focused on extracting detailed statistics from the official Australian Football League website (https://aleagues.com.au/). The goal was to gather in-depth insights into various aspects of football matches, covering general statistics, distribution, attack, defense, and discipline. Key Features: Data Extraction: Utilized web scraping techniques to extract 88 key columns of data for each match, including essential details such as date, rounds, team names, and match results. Outcome: The successfully scraped and organized dataset now serves as a foundation for detailed analytical studies. The information extracted includes team dynamics, player performances, and match trends, contributing to a richer understanding of the Australian Football League. Feel free to explore the attached sample reports or contact me for further details on this project.
Web Scraping and Analysis of Australian Football League Data
11548943
In this project, I successfully implemented web scraping techniques using Selenium, BeautifulSoup (bs4), and Scrapy to gather comprehensive information about restaurants in the vibrant New York area from Google Maps. The collected data includes essential details such as the restaurant's name, reviews, number of reviews, overview, address, and contact phone number. Key Elements of the Project: Data Collection with Selenium and bs4: Leveraged Selenium to automate the browsing process and BeautifulSoup for efficient HTML parsing to extract restaurant information. Scrapy for Scalable Crawling: Utilized the Scrapy framework for scalable and efficient web crawling, enabling the extraction of a large volume of restaurant data with minimal resource usage. Outcome: Successfully gathered a comprehensive dataset of restaurant information, laying the groundwork for valuable insights into the New York dining scene.
Restaurant Data Scraping from Google Maps
In this project, I successfully implemented web scraping techniques using Selenium, BeautifulSoup (bs4), and Scrapy to gather comprehensive information about restaurants in the vibrant New York area from Google Maps. The collected data includes essential details such as the restaurant's name, reviews, number of reviews, overview, address, and contact phone number. Key Elements of the Project: Data Collection with Selenium and bs4: Leveraged Selenium to automate the browsing process and BeautifulSoup for efficient HTML parsing to extract restaurant information. Scrapy for Scalable Crawling: Utilized the Scrapy framework for scalable and efficient web crawling, enabling the extraction of a large volume of restaurant data with minimal resource usage. Outcome: Successfully gathered a comprehensive dataset of restaurant information, laying the groundwork for valuable insights into the New York dining scene.
Restaurant Data Scraping from Google Maps
In this project, I successfully implemented web scraping techniques using Selenium, BeautifulSoup (bs4), and Scrapy to gather comprehensive information about restaurants in the vibrant New York area from Google Maps. The collected data includes essential details such as the restaurant's name, reviews, number of reviews, overview, address, and contact phone number. Key Elements of the Project: Data Collection with Selenium and bs4: Leveraged Selenium to automate the browsing process and BeautifulSoup for efficient HTML parsing to extract restaurant information. Scrapy for Scalable Crawling: Utilized the Scrapy framework for scalable and efficient web crawling, enabling the extraction of a large volume of restaurant data with minimal resource usage. Outcome: Successfully gathered a comprehensive dataset of restaurant information, laying the groundwork for valuable insights into the New York dining scene.
Restaurant Data Scraping from Google Maps
In this project, I successfully implemented web scraping techniques using Selenium, BeautifulSoup (bs4), and Scrapy to gather comprehensive information about restaurants in the vibrant New York area from Google Maps. The collected data includes essential details such as the restaurant's name, reviews, number of reviews, overview, address, and contact phone number. Key Elements of the Project: Data Collection with Selenium and bs4: Leveraged Selenium to automate the browsing process and BeautifulSoup for efficient HTML parsing to extract restaurant information. Scrapy for Scalable Crawling: Utilized the Scrapy framework for scalable and efficient web crawling, enabling the extraction of a large volume of restaurant data with minimal resource usage. Outcome: Successfully gathered a comprehensive dataset of restaurant information, laying the groundwork for valuable insights into the New York dining scene.
Restaurant Data Scraping from Google Maps
11630709
I specialize in the accurate conversion of screenshot PDFs to Word documents, ensuring a flawless transition of visual content to editable formats. With a meticulous eye for detail and a commitment to maintaining 100% accuracy, I employ advanced tools and quality assurance techniques to deliver high-quality, error-free document conversions. As a Document Conversion Specialist, I play a crucial role in upholding data integrity and usability across diverse projects, showcasing my dedication to precision in document transformation.
Document Conversion Specialist PDF to Word
I specialize in the accurate conversion of screenshot PDFs to Word documents, ensuring a flawless transition of visual content to editable formats. With a meticulous eye for detail and a commitment to maintaining 100% accuracy, I employ advanced tools and quality assurance techniques to deliver high-quality, error-free document conversions. As a Document Conversion Specialist, I play a crucial role in upholding data integrity and usability across diverse projects, showcasing my dedication to precision in document transformation.
Document Conversion Specialist PDF to Word
I specialize in the accurate conversion of screenshot PDFs to Word documents, ensuring a flawless transition of visual content to editable formats. With a meticulous eye for detail and a commitment to maintaining 100% accuracy, I employ advanced tools and quality assurance techniques to deliver high-quality, error-free document conversions. As a Document Conversion Specialist, I play a crucial role in upholding data integrity and usability across diverse projects, showcasing my dedication to precision in document transformation.
Document Conversion Specialist PDF to Word
11572737
The Unstructured PDF to Excel Converter project addresses the challenge of extracting information from unstructured PDF documents and transforming it into organized Excel files. Unlike structured PDFs with defined tables, unstructured PDFs often contain textual data without a clear format. This tool employs advanced algorithms to intelligently extract relevant information, converting it into a structured Excel format. Whether dealing with invoices, contracts, or other free-form PDF content, this converter empowers users to efficiently extract, organize, and analyze data with minimal manual intervention.
Unstructured PDF to Excel Converter
The Unstructured PDF to Excel Converter project addresses the challenge of extracting information from unstructured PDF documents and transforming it into organized Excel files. Unlike structured PDFs with defined tables, unstructured PDFs often contain textual data without a clear format. This tool employs advanced algorithms to intelligently extract relevant information, converting it into a structured Excel format. Whether dealing with invoices, contracts, or other free-form PDF content, this converter empowers users to efficiently extract, organize, and analyze data with minimal manual intervention.
Unstructured PDF to Excel Converter
The Unstructured PDF to Excel Converter project addresses the challenge of extracting information from unstructured PDF documents and transforming it into organized Excel files. Unlike structured PDFs with defined tables, unstructured PDFs often contain textual data without a clear format. This tool employs advanced algorithms to intelligently extract relevant information, converting it into a structured Excel format. Whether dealing with invoices, contracts, or other free-form PDF content, this converter empowers users to efficiently extract, organize, and analyze data with minimal manual intervention.
Unstructured PDF to Excel Converter
The Unstructured PDF to Excel Converter project addresses the challenge of extracting information from unstructured PDF documents and transforming it into organized Excel files. Unlike structured PDFs with defined tables, unstructured PDFs often contain textual data without a clear format. This tool employs advanced algorithms to intelligently extract relevant information, converting it into a structured Excel format. Whether dealing with invoices, contracts, or other free-form PDF content, this converter empowers users to efficiently extract, organize, and analyze data with minimal manual intervention.
Unstructured PDF to Excel Converter
The Unstructured PDF to Excel Converter project addresses the challenge of extracting information from unstructured PDF documents and transforming it into organized Excel files. Unlike structured PDFs with defined tables, unstructured PDFs often contain textual data without a clear format. This tool employs advanced algorithms to intelligently extract relevant information, converting it into a structured Excel format. Whether dealing with invoices, contracts, or other free-form PDF content, this converter empowers users to efficiently extract, organize, and analyze data with minimal manual intervention.
Unstructured PDF to Excel Converter
11570665
The Stock Analysis Web App is a user-friendly tool for visualizing and analyzing stock market data. Utilizing Flask and Plotly, it offers dynamic candlestick charts with overlays of moving averages, Bollinger Bands, RSI, and MACD. The app provides valuable insights into price trends, trading signals, and volume patterns, empowering users for informed decision-making. Key Features: Dynamic candlestick chart with overlays. Moving averages, Bollinger Bands, RSI, and MACD indicators. Volume chart for trading activity. Responsive design for easy use on various devices. Technologies: Flask Plotly yfinance (Yahoo Finance API)
Stock Analysis Web App
The Stock Analysis Web App is a user-friendly tool for visualizing and analyzing stock market data. Utilizing Flask and Plotly, it offers dynamic candlestick charts with overlays of moving averages, Bollinger Bands, RSI, and MACD. The app provides valuable insights into price trends, trading signals, and volume patterns, empowering users for informed decision-making. Key Features: Dynamic candlestick chart with overlays. Moving averages, Bollinger Bands, RSI, and MACD indicators. Volume chart for trading activity. Responsive design for easy use on various devices. Technologies: Flask Plotly yfinance (Yahoo Finance API)
Stock Analysis Web App
The Stock Analysis Web App is a user-friendly tool for visualizing and analyzing stock market data. Utilizing Flask and Plotly, it offers dynamic candlestick charts with overlays of moving averages, Bollinger Bands, RSI, and MACD. The app provides valuable insights into price trends, trading signals, and volume patterns, empowering users for informed decision-making. Key Features: Dynamic candlestick chart with overlays. Moving averages, Bollinger Bands, RSI, and MACD indicators. Volume chart for trading activity. Responsive design for easy use on various devices. Technologies: Flask Plotly yfinance (Yahoo Finance API)
Stock Analysis Web App
The Stock Analysis Web App is a user-friendly tool for visualizing and analyzing stock market data. Utilizing Flask and Plotly, it offers dynamic candlestick charts with overlays of moving averages, Bollinger Bands, RSI, and MACD. The app provides valuable insights into price trends, trading signals, and volume patterns, empowering users for informed decision-making. Key Features: Dynamic candlestick chart with overlays. Moving averages, Bollinger Bands, RSI, and MACD indicators. Volume chart for trading activity. Responsive design for easy use on various devices. Technologies: Flask Plotly yfinance (Yahoo Finance API)
Stock Analysis Web App
The Stock Analysis Web App is a user-friendly tool for visualizing and analyzing stock market data. Utilizing Flask and Plotly, it offers dynamic candlestick charts with overlays of moving averages, Bollinger Bands, RSI, and MACD. The app provides valuable insights into price trends, trading signals, and volume patterns, empowering users for informed decision-making. Key Features: Dynamic candlestick chart with overlays. Moving averages, Bollinger Bands, RSI, and MACD indicators. Volume chart for trading activity. Responsive design for easy use on various devices. Technologies: Flask Plotly yfinance (Yahoo Finance API)
Stock Analysis Web App
11569052
My project focuses on leveraging the fast.ai model to detect breast cancers in screening mammograms. Utilizing advanced machine learning techniques, specifically tailored by fast.ai, the goal is to enhance the accuracy and efficiency of breast cancer detection from mammographic images. This project contributes to the field of medical image analysis by harnessing cutting-edge technology to improve the early identification of breast cancers during routine screenings.
Fast.ai-Powered Breast Cancer Detection in Screening Mammogr
My project focuses on leveraging the fast.ai model to detect breast cancers in screening mammograms. Utilizing advanced machine learning techniques, specifically tailored by fast.ai, the goal is to enhance the accuracy and efficiency of breast cancer detection from mammographic images. This project contributes to the field of medical image analysis by harnessing cutting-edge technology to improve the early identification of breast cancers during routine screenings.
Fast.ai-Powered Breast Cancer Detection in Screening Mammogr
My project focuses on leveraging the fast.ai model to detect breast cancers in screening mammograms. Utilizing advanced machine learning techniques, specifically tailored by fast.ai, the goal is to enhance the accuracy and efficiency of breast cancer detection from mammographic images. This project contributes to the field of medical image analysis by harnessing cutting-edge technology to improve the early identification of breast cancers during routine screenings.
Fast.ai-Powered Breast Cancer Detection in Screening Mammogr
My project focuses on leveraging the fast.ai model to detect breast cancers in screening mammograms. Utilizing advanced machine learning techniques, specifically tailored by fast.ai, the goal is to enhance the accuracy and efficiency of breast cancer detection from mammographic images. This project contributes to the field of medical image analysis by harnessing cutting-edge technology to improve the early identification of breast cancers during routine screenings.
Fast.ai-Powered Breast Cancer Detection in Screening Mammogr
My project focuses on leveraging the fast.ai model to detect breast cancers in screening mammograms. Utilizing advanced machine learning techniques, specifically tailored by fast.ai, the goal is to enhance the accuracy and efficiency of breast cancer detection from mammographic images. This project contributes to the field of medical image analysis by harnessing cutting-edge technology to improve the early identification of breast cancers during routine screenings.
Fast.ai-Powered Breast Cancer Detection in Screening Mammogr
My project focuses on leveraging the fast.ai model to detect breast cancers in screening mammograms. Utilizing advanced machine learning techniques, specifically tailored by fast.ai, the goal is to enhance the accuracy and efficiency of breast cancer detection from mammographic images. This project contributes to the field of medical image analysis by harnessing cutting-edge technology to improve the early identification of breast cancers during routine screenings.
Fast.ai-Powered Breast Cancer Detection in Screening Mammogr
11554505
I successfully executed a comprehensive web scraping project focused on extracting detailed statistics from the official Australian Football League website (https://aleagues.com.au/). The goal was to gather in-depth insights into various aspects of football matches, covering general statistics, distribution, attack, defense, and discipline. Key Features: Data Extraction: Utilized web scraping techniques to extract 88 key columns of data for each match, including essential details such as date, rounds, team names, and match results. Outcome: The successfully scraped and organized dataset now serves as a foundation for detailed analytical studies. The information extracted includes team dynamics, player performances, and match trends, contributing to a richer understanding of the Australian Football League. Feel free to explore the attached sample reports or contact me for further details on this project.
Web Scraping and Analysis of Australian Football League Data
I successfully executed a comprehensive web scraping project focused on extracting detailed statistics from the official Australian Football League website (https://aleagues.com.au/). The goal was to gather in-depth insights into various aspects of football matches, covering general statistics, distribution, attack, defense, and discipline. Key Features: Data Extraction: Utilized web scraping techniques to extract 88 key columns of data for each match, including essential details such as date, rounds, team names, and match results. Outcome: The successfully scraped and organized dataset now serves as a foundation for detailed analytical studies. The information extracted includes team dynamics, player performances, and match trends, contributing to a richer understanding of the Australian Football League. Feel free to explore the attached sample reports or contact me for further details on this project.
Web Scraping and Analysis of Australian Football League Data
I successfully executed a comprehensive web scraping project focused on extracting detailed statistics from the official Australian Football League website (https://aleagues.com.au/). The goal was to gather in-depth insights into various aspects of football matches, covering general statistics, distribution, attack, defense, and discipline. Key Features: Data Extraction: Utilized web scraping techniques to extract 88 key columns of data for each match, including essential details such as date, rounds, team names, and match results. Outcome: The successfully scraped and organized dataset now serves as a foundation for detailed analytical studies. The information extracted includes team dynamics, player performances, and match trends, contributing to a richer understanding of the Australian Football League. Feel free to explore the attached sample reports or contact me for further details on this project.
Web Scraping and Analysis of Australian Football League Data
I successfully executed a comprehensive web scraping project focused on extracting detailed statistics from the official Australian Football League website (https://aleagues.com.au/). The goal was to gather in-depth insights into various aspects of football matches, covering general statistics, distribution, attack, defense, and discipline. Key Features: Data Extraction: Utilized web scraping techniques to extract 88 key columns of data for each match, including essential details such as date, rounds, team names, and match results. Outcome: The successfully scraped and organized dataset now serves as a foundation for detailed analytical studies. The information extracted includes team dynamics, player performances, and match trends, contributing to a richer understanding of the Australian Football League. Feel free to explore the attached sample reports or contact me for further details on this project.
Web Scraping and Analysis of Australian Football League Data
I successfully executed a comprehensive web scraping project focused on extracting detailed statistics from the official Australian Football League website (https://aleagues.com.au/). The goal was to gather in-depth insights into various aspects of football matches, covering general statistics, distribution, attack, defense, and discipline. Key Features: Data Extraction: Utilized web scraping techniques to extract 88 key columns of data for each match, including essential details such as date, rounds, team names, and match results. Outcome: The successfully scraped and organized dataset now serves as a foundation for detailed analytical studies. The information extracted includes team dynamics, player performances, and match trends, contributing to a richer understanding of the Australian Football League. Feel free to explore the attached sample reports or contact me for further details on this project.
Web Scraping and Analysis of Australian Football League Data
11548943
In this project, I successfully implemented web scraping techniques using Selenium, BeautifulSoup (bs4), and Scrapy to gather comprehensive information about restaurants in the vibrant New York area from Google Maps. The collected data includes essential details such as the restaurant's name, reviews, number of reviews, overview, address, and contact phone number. Key Elements of the Project: Data Collection with Selenium and bs4: Leveraged Selenium to automate the browsing process and BeautifulSoup for efficient HTML parsing to extract restaurant information. Scrapy for Scalable Crawling: Utilized the Scrapy framework for scalable and efficient web crawling, enabling the extraction of a large volume of restaurant data with minimal resource usage. Outcome: Successfully gathered a comprehensive dataset of restaurant information, laying the groundwork for valuable insights into the New York dining scene.
Restaurant Data Scraping from Google Maps
In this project, I successfully implemented web scraping techniques using Selenium, BeautifulSoup (bs4), and Scrapy to gather comprehensive information about restaurants in the vibrant New York area from Google Maps. The collected data includes essential details such as the restaurant's name, reviews, number of reviews, overview, address, and contact phone number. Key Elements of the Project: Data Collection with Selenium and bs4: Leveraged Selenium to automate the browsing process and BeautifulSoup for efficient HTML parsing to extract restaurant information. Scrapy for Scalable Crawling: Utilized the Scrapy framework for scalable and efficient web crawling, enabling the extraction of a large volume of restaurant data with minimal resource usage. Outcome: Successfully gathered a comprehensive dataset of restaurant information, laying the groundwork for valuable insights into the New York dining scene.
Restaurant Data Scraping from Google Maps
In this project, I successfully implemented web scraping techniques using Selenium, BeautifulSoup (bs4), and Scrapy to gather comprehensive information about restaurants in the vibrant New York area from Google Maps. The collected data includes essential details such as the restaurant's name, reviews, number of reviews, overview, address, and contact phone number. Key Elements of the Project: Data Collection with Selenium and bs4: Leveraged Selenium to automate the browsing process and BeautifulSoup for efficient HTML parsing to extract restaurant information. Scrapy for Scalable Crawling: Utilized the Scrapy framework for scalable and efficient web crawling, enabling the extraction of a large volume of restaurant data with minimal resource usage. Outcome: Successfully gathered a comprehensive dataset of restaurant information, laying the groundwork for valuable insights into the New York dining scene.
Restaurant Data Scraping from Google Maps
In this project, I successfully implemented web scraping techniques using Selenium, BeautifulSoup (bs4), and Scrapy to gather comprehensive information about restaurants in the vibrant New York area from Google Maps. The collected data includes essential details such as the restaurant's name, reviews, number of reviews, overview, address, and contact phone number. Key Elements of the Project: Data Collection with Selenium and bs4: Leveraged Selenium to automate the browsing process and BeautifulSoup for efficient HTML parsing to extract restaurant information. Scrapy for Scalable Crawling: Utilized the Scrapy framework for scalable and efficient web crawling, enabling the extraction of a large volume of restaurant data with minimal resource usage. Outcome: Successfully gathered a comprehensive dataset of restaurant information, laying the groundwork for valuable insights into the New York dining scene.
Restaurant Data Scraping from Google Maps
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Data Scientist for stock market information • $250 CAD
Rating Zero. We had a terrible experience with this person, who did not follow our instructions and proceeded to develop a program that we did not want and he refuses to correct his program to what we requested. He was desperate for money, so we prepaid him in advance, but he gave us what he wanted, not what we requested. He refuses to give us the program that we requested and refuses to return the money we advanced him.
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Université Ibnou Zohr-Agadir
2019 - 2021
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2 år
Master degree
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Morocco
2019 - 2021
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2 år
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