Popular repositories

1. Use-Google-Play-Scraper-to-crawl-the-Google-Play-Store-for-Python Use-Google-Play-Scraper-to-crawl-the-Google-Play-Store-for-Python Public

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   Jupyter Notebook 6

2. Using-Support-Vector-Machine-To-Automatically-Take-Class-Attendance Using-Support-Vector-Machine-To-Automatically-Take-Class-Attendance Public

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3. Using-deep-learning-to-classify-fruits-using-the-VGG16-model Using-deep-learning-to-classify-fruits-using-the-VGG16-model Public

   Classify 8 types of fruit using the VGG16 model with accuracy up to 90%

   Jupyter Notebook 5

4. Using-Word-Embeddings-for-Twitter-Sentiment-Analysis Using-Word-Embeddings-for-Twitter-Sentiment-Analysis Public

   The project researches sentiment analysis on Twitter, with the goal of evaluating the positivity, negativity or neutrality of comments. Using Word Embeddings, an advanced method in natural language…

   Jupyter Notebook 5

5. Traffic-sign-classification-using-transfer-learning-with-ResNet152V2 Traffic-sign-classification-using-transfer-learning-with-ResNet152V2 Public

   Utilizing ResNet152V2 for Traffic Sign Classification: Achieve High Accuracy in Identifying 52 Sign Types with 99% Precision

   Jupyter Notebook 5 2

6. Detect-Yoga-Poses-And-Correction-In-Real-Time-Using-Machine-Learning-Algorithms Detect-Yoga-Poses-And-Correction-In-Real-Time-Using-Machine-Learning-Algorithms Public

   Compare SVM mode yoga movement classification accuracy with Linear kernel, Polynomial kernel, RBF (Radial Basis Function) kernel, LSTM with accuracy up to 98%. In addition, it also supports adjusti…

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