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1. SQL SQL Public

2. Machine-Learning Machine-Learning Public

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3. Machine-Learning-Graphs Machine-Learning-Graphs Public

   Matplotlib graphs, graphs using Pandas dataframes, and Plotly

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4. NLP NLP Public

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5. TransferLearning_VGG16- TransferLearning_VGG16- Public

   Evaluated pre-trained VGG16 classification model on flower dataset to get 97.37% accuracy, and built VGG16 model from scratch with early stopping to get 76% accuracy.

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6. Sentiment_Analysis Sentiment_Analysis Public

   Implemented pre-trained Transformer-based distilBERT and BERT multilingual model to classify sentiments in positive or negative class and ranked them on scale of 1 to 5

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