surgyan Goto Github PK

awesome-feature-engineering

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

chatbot-retrieval

Dual LSTM Encoder for Dialog Response Generation

course-v3

The 3rd edition of course.fast.ai

data-science--cheat-sheet

Cheat Sheets

deeprecommender

Deep learning for recommender systems

devops-intro-project

Project files for Intro to DevOps class

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

keras-movielens-cf

A set of Jupyter notebooks demonstrating collaborative filtering using matrix factorization with Keras.

linkedin-learning-video-downloader

LinkedIn video learning video downloader July 2019

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.

moviegeek

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

pgdast

This repo contains study materials, lab records, previous year assignments and question papers, term end exam form, assignment instructions, percentage calculator etc. of the 1-year programme PGDAST, offered by IGNOU. Checkout the programme guide for more details!

pythondatasciencehandbook

https://github.com/jakevdp/PythonDataScienceHandbook.git

recommenders

Best Practices on Recommendation Systems

recommendersystems

spinningup

An educational resource to help anyone learn deep reinforcement learning.

spotify-recommendation-engine

Music Recommender System

stockprediction

Data and code of my Medium story on stock prediction with TensorFlow

xuniverse

xverse (XuniVerse) is collection of transformers for feature engineering and feature selection