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
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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
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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
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Higher Order Functions and Decorators
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Simple Tutorial on Regular Expressions and String Manipulations in R