Winning Tips on Machine Learning Competitions by Kazanova, Current Kaggle 3

Practical Guide to Text Mining and Feature Engineering in R

Getting Started, Working with …, Object Oriented …, etc.

Bayes rules, Conditional probability, Chain rule

Dynamic Programming and Bit Masking

Statistics, Data Manipulation …, Machine Learning …, etc.

Beginners Tutorial on XGBoost and Parameter Tuning in R

Deep Learning & Parameter Tuning with MXnet, H2o Package in R

Programming Tutorials and Practice Problems

Familiarize with online programming in just 7 easy steps

Practical Tutorial on Data Manipulation with Numpy and Pandas in Python

Practical Machine Learning Project in Python on House Prices Data

Introduction to Dynamic Programming 1

HackerEarthHackerEarth

Classes and Objects II (Inheritance and Composition)

Practical Guide to Clustering Algorithms & Evaluation in R

Beginners Guide to Regression Analysis and Plot Interpretations

Line Intersection using Bentley Ottmann Algorithm

Practical Guide to Logistic Regression Analysis in R

Practical Tutorial on Random Forest and Parameter Tuning in R

HackerEarthHackerEarth

Higher Order Functions and Decorators

Be better at programming, one step at a time

Simple Tutorial on Regular Expressions and String Manipulations in R