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Artificial Intelligence
Artificial Neural Network
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Python
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Haffizud D.

@HAFFIZUDDIN

5,0
2
2,0
2,0
100%

Data Science|Artificial Intelligence|ML|DL|CV|NLP

$10 USD / Time
・
Flag for
Pakistan (10:44 PM)
・
Tilmeldt december 4, 2023
$10 USD / Time
・
I'm HAFFIZUDDIN, a seasoned professional with a dynamic background spanning in the realm of data science and artificial intelligence. My passion lies in transforming raw data into actionable insights, and my skill set is a testament to a journey deeply entrenched in the cutting-edge technologies of today. Skill Highlights: Data Science (DS) Machine Learning (ML) Artificial Intelligence (AI) Natural Language Processing (NLP) Computer Vision (CV) Data Visualization Data Mining Contact Me to Propel Your
Verifikationer
Til tiden
100 %
Indenfor budgettet
100 %
Accept andel
100 %
Freelancer Python Developers Pakistan
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Portfolio-mappe

Portfolio-mappe

11542206
The "Plant Disease Classification using Leaf Images" project aims to detect crop diseases early through AI and computer vision. Leveraging the PlantVillage Dataset from Kaggle, it encompasses six crops and 22 classes. The model, based on VGG16, achieves training accuracy of 73.46%, validation accuracy of 90.00%, and test accuracy of 89.76%. Utilizing TensorFlow's ImageDataGenerator for preprocessing, EDA provides insights into class distribution and pixel intensity. Class weighting addresses imbalance, and evaluation metrics, including precision, recall, F1-score, and a confusion matrix, showcase model performance. TensorBoard visualizes training metrics. The provided usage example demonstrates practical application. Future improvements include hyperparameter fine-tuning, enhanced error handling, and continuous refinement based on user feedback and new datasets. The project invites exploration, contribution, and feedback for ongoing enhancement.
Plant Disease Classification using Leaf Images
11542206
The "Plant Disease Classification using Leaf Images" project aims to detect crop diseases early through AI and computer vision. Leveraging the PlantVillage Dataset from Kaggle, it encompasses six crops and 22 classes. The model, based on VGG16, achieves training accuracy of 73.46%, validation accuracy of 90.00%, and test accuracy of 89.76%. Utilizing TensorFlow's ImageDataGenerator for preprocessing, EDA provides insights into class distribution and pixel intensity. Class weighting addresses imbalance, and evaluation metrics, including precision, recall, F1-score, and a confusion matrix, showcase model performance. TensorBoard visualizes training metrics. The provided usage example demonstrates practical application. Future improvements include hyperparameter fine-tuning, enhanced error handling, and continuous refinement based on user feedback and new datasets. The project invites exploration, contribution, and feedback for ongoing enhancement.
Plant Disease Classification using Leaf Images
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5.0 · 2 Reviews
Bedømmelser
R
classification project • $35 USD
This freelancer is awesome!
Closed User
@raph247
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,
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1 år siden
Del
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Python task to be handled.. • ₹5.500 INR
Well done!!! Thanks a lot
Shameema V.
@tutorapex
•
Flag for
Mutrah, Oman
•
1 år siden
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Kvalifikationer
Data Science and Artificial Intelligence
2022
NUST
Data Analysis Machine Learning Predictive Modeling Natural Language Processing (NLP) Computer Vision Data Visualization Statistical Analysis Big Data Technologies Deep Learning LSTMs GRUs CNN
2022
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