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1. End_to_End_ML_Lifecycle End_to_End_ML_Lifecycle Public

   Deployed a POC for the client to demo how the entire ML life cycle works. The purpose of the project was to implement different ML techniques and show the client how the entire ML pipeline works in…

   Python

2. Visual-Question-answering Visual-Question-answering Public

   Visual Question Answering(VQA) is a system that takes an image and natural language question about the image as an input and generates natural language answer as an output.

   Jupyter Notebook

3. Contextual_Qtn_Ans_using_BERT Contextual_Qtn_Ans_using_BERT Public

   Jupyter Notebook

4. DonorsChoose-ML-Implementation DonorsChoose-ML-Implementation Public

   Jupyter Notebook

5. LSTM_on_DonorsChoose LSTM_on_DonorsChoose Public

   The goal is to predict whether or not a DonorsChoose.org project proposal submitted by a teacher will be approved, using the text of project descriptions as well as additional metadata about the pr…

   Jupyter Notebook

6. Self-driving-car-using-reinforcement-learning Self-driving-car-using-reinforcement-learning Public

   Using pytorch and reinforcement learning I created a 2D simulation along with a small car like object (using the kivy library) which has 3 sensors at its front. All the 3 sensors help it to travel …

   Python 3 2