Avinash Barnwal's Projects
Deep Learning framework for Julia
Quantitative Momentum - Investment Strategy inspired by Wesley Gray and Jack Vogel
Network ElasticNet
Learning NLP
Online Machine Learning
Google's Operations Research tools
Penalised Logistic Regression
Machine learning pipelines
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
Python code for "Machine learning: a probabilistic perspective"
Python best practices guidebook, written for Humans.
The "Python Machine Learning (2nd edition)" book code repository and info resource
QuantStart Forex Backtesting and Live Trading
2nd Place Solution of the Kaggle Competition - Santander Product Recommendation
Easy interactive web applications with R
Source Code for Competition
Software Engineering
Stepwise Regression-Python
Machine Learning Research in Synthetic Data
Machine learning lie detector
Time2Vec - Application to User Activity Data
For value investing dashboard
This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.
The python files from my web scraping tutorials.