This repository is dedicated to documenting my journey for learning Data Science and Machine Learning using various online resources.
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Completed Lectures 1-7 of MIT OCW Probabilistic Systems Analysis and Applied Probability with corresponding problem sets.
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Began Siraj Raval's Learn Python for Data Science Tutorial. Completed Gender Classification Challenge which can be found here.
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Completed Twitter Sentiment Analysis challenge additional documentation can be found here.
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Completed Recommendation system challenge additional documentation can be found here.
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Completed Stock Price Prediction challenge additional documentation can be found here. Setup virtual python environments for Keras with a TensorFlow backend.
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Began Siraj Raval's The Math of Intelligence playlist. Implemented Gradient Descent for Pokemon dataset from Kaggle. Predicted HP based on Attack score. Notebook can be found here
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Completed SVM video then implemented SVM from scratch.
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Began working on udemy machine learning course