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May 13, 2020 - Jupyter Notebook
rmse-score
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India is one of the countries with the highest air pollution country. Generally, air pollution is assessed by PM value or air quality index value. For my further analysis, I have selected PM-2.5 value to determine the air quality prediction and the India-Bangalore region. Also, the data was collected through web scraping with the help of Beautif…
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May 5, 2024 - Jupyter Notebook
Python package to simplify plotting of common evaluation metrics for regression models. Metrics included are pearson correlation coefficient (r), coefficient of determination (r-squared), mean squared error (mse), root mean squared error(rmse), root mean squared relative error (rmsre), mean absolute error (mae), mean absolute percentage error (m…
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Nov 16, 2021 - Jupyter Notebook
This repository has been created for air pollution forecast in the coming hours in Beijing.
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May 10, 2021 - Jupyter Notebook
Stock Price Prediction of APPLE Using Python
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May 25, 2020 - Python
Improved the accuracy of Bitcoin stock price predictions on ARIMA model by reducing the seasonality factor. Achieved RMSE value of 68.99 after implementation of SARIMAX model to reduce seasonality.
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Apr 24, 2024 - Jupyter Notebook
Stock Market Prediction Algorithm Implementation for major giants of India
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Jun 15, 2021 - Jupyter Notebook
Rank 6/85 AnalyticsVidhya
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Jan 6, 2021 - Jupyter Notebook
Data Analysis and Prediction of New York Taxi Trip Duration Using Machine Learning Models
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Jun 11, 2020 - Jupyter Notebook
Predict solar generation data
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Mar 19, 2021
UV matrix decompostion using movielens dataset
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Mar 17, 2023 - Jupyter Notebook
Predicting Delivery Time Using Sorting Time
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Mar 24, 2022 - Jupyter Notebook
regresspy for simple regressions
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Aug 18, 2021 - Python
Tutorials for BSE classes.
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Nov 14, 2021 - Jupyter Notebook
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Sep 30, 2020 - Jupyter Notebook
Simple Linear Regression
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Mar 6, 2024 - Jupyter Notebook
Numerical Methods: "Life Expectancy & Linear Regression" Group Project - 2nd Semester 2021 - Computer Science, UBA
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Mar 11, 2023 - C++
Forecasting Wine Sales of Two Different types of Wine. After thorough Data Analysis, different models have been used and tested such as Exponential Smoothing Models, Regression, Naive Forecast, Simple Average, Moving Average. Stationarity of the data is checked. Automated Version of ARIMA/SARIMA Model built. Comparison of Models.
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Mar 27, 2024 - Jupyter Notebook
Forecasting footsteps in Walmart from previous years available timeseries data and predict on new years data.
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Aug 24, 2022 - Jupyter Notebook
TCD ML Comp. 2019/20 - Income Prediction (Ind.)
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Apr 20, 2020 - Jupyter Notebook
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