A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

R Package - calculate Information Value and WoE (Weight of Evidence)

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Advanced R: a book

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube

This is code for my CERN presentation

My own lc solutions

A curated list of awesome computer vision resources

Mirror of Apache Spark

Computation using data flow graphs for scalable machine learning

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Interactive JS Charts from R

Example code from Learning Spark book

Create scalable machine learning applications to power a modern data-driven business using Spark

scikit-learn: machine learning in Python

Public facing notes page

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

谷歌全新开源人工智能系统TensorFlow官方文档中文版

TensorFlow tutorials and code examples for beginners

Source Code for the book: Machine Learning in Action published by Manning

R语言忍者秘笈

Kaggle's Allstate Purchase Prediction Challenge

Code accompanying the book "Machine Learning for Hackers"