5 Useful Machine Learning Repositories on Github

The above given GitHub repository provides an organized list of machine learning libraries, frameworks and tools. Further elaborating, Computer vision libraries include scikit-image, scikit-opt, face_recognition, neural dream and many more, NLP libraries include CLTK and NLTK which helps us to build models that are able to understand human language data, Machine learning libraries include scikit learn, pattern and prophet which was developed by Facebook and is one of the best models for time series data prediction, Data Visualization and analysis libraries include pandas, numpy and many more which are really helpful in modelling and transforming our datasets and finally neural network libraries include neural_talk, nn_builder which can build neural networks in one line. This repository contains instances of the most used and widely used machine learning codes and algorithms implemented using Python explained along with the mathematics and logic working behind them. Also, each algorithm is explained through Jupyter notebook'sinteractive environment. The codes are not only run on a training set for data analysis but also the mathematics is explained which makes it one of the best resources to strengthen one's basics.