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Basic Probability Models and Rules
Bayes’ rules, Conditional probability, Chain rule
Discrete Random Variables
Continuous Random Variables

Data Manipulation & Visualisation

Practical Tutorial on Data Manipulation with Numpy and Pandas in Python

Machine Learning Algorithms

Beginners Guide to Regression Analysis and Plot Interpretations
Practical Guide to Logistic Regression Analysis in R
Practical Tutorial on Random Forest and Parameter Tuning in R
Practical Guide to Clustering Algorithms & Evaluation in R
Beginners Tutorial on XGBoost and Parameter Tuning in R
Deep Learning & Parameter Tuning with MXnet, H2o Package in R
Decision Tree

Advanced Techniques

Simple Tutorial on Regular Expressions and String Manipulations in R
Practical Guide to Text Mining and Feature Engineering in R
Winning Tips on Machine Learning Competitions by Kazanova, Current Kaggle #3

Machine Learning Projects

Practical Machine Learning Project in Python on House Prices Data

Challenges Winning Approach

Challenge #1 - Machine Learning
Challenge #3 - Machine Learning
Challenge #2 - Deep Learning

Transfer Learning

Transfer Learning Introduction

Machine Learning

Statistics Bayes’ rules, Conditional probability, Chain rule

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