Statistical-Learning-and-Graphical-Models

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Bare bone examples of machine learning in TensorFlow

For extensive instructor led learning

Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features

Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

? MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Markov chains in golang

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.