Akash (Sathya) Kothapalli's starred repositories
sklearn_pycon2015
Materials for my Pycon 2015 scikit-learn tutorial.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
recommender_system_py
This is a submission for the Recommender challenge by @Sirajology on Youtube. [winner]
benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
AV_MLWARE1_sarcasm_detect_in_tweets
Solutions to MLWARE1 organised by Analytics Vidhya (https://datahack.analyticsvidhya.com/contest/mlware-1/)
DS-Competitions
Machine Learning Competitions
freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.