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1. LogisticRegression LogisticRegression Public

   Classification Using Logistic Regression by Making a Neural Network Model. This project also includes comparison of Model performance when different regularization techniques are used

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2. Reinforcement-Learning Reinforcement-Learning Public

   The aim of the project is to perform Q-learning on a historical stock price for Nvidia for the last 5 years dataset which is reinforcement learning. I have trained the agent by using temporal diffe…

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3. unsupervised-learning unsupervised-learning Public

   The aim of the project is to perform K-means clustering on the Cifar 10 dataset which is unsupervised learning. In this phase of the project our aim is to use autoencoders neural network architectu…

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4. flask-with-database flask-with-database Public

   Flask application with postgres database.

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