Commonly used Machine Learning Algorithms (with Python and R Codes)
Note: This article was originally published on August 10, 2015 and updated on Sept 9th, 2017 Overview Major focus on commonly used machine learning …
decision tree
Which algorithm takes the crown: Light GBM vs XGBOOST?
Introduction If you are an active member of the Machine Learning community, you must be aware of Boosting Machines and their capabilities. The development …
45 questions to test Data Scientists on Tree Based Algorithms (Decision tree, Random Forests, XGBoost)
Introduction Tree Based algorithms like Random Forest, Decision Tree, and Gradient Boosting are commonly used machine learning algorithms. Tree based algorithms are often used …
Solutions for Skilltest Machine Learning : Revealed
Introduction Automation and Intelligence has always been a driving force for technological advancements. Techniques like machine learning enable these advancements in every domain possible. …
16 New Must Watch Tutorials, Courses on Machine Learning
Introduction Most of us fail to acknowledge that Youtube has a massive resource center of machine learning tutorials which are free to access. You no longer …
40 Interview Questions asked at Startups in Machine Learning / Data Science
Overview Contains a list of widely asked interview questions based on machine learning and data science The primary focus is to learn machine learning …
Making Predictions on Test Data after Principal Component Analysis in R
Introduction This is an update of my previous article on Principal Component Analysis in R & Python. After having received several request on describing …
A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python)
Overview Explanation of tree based modeling from scratch in R and python Learn machine learning concepts like decision trees, random forest, boosting, bagging, ensemble …
Practical Guide to deal with Imbalanced Classification Problems in R
Introduction We have several machine learning algorithms at our disposal for model building. Doing data based prediction is now easier like never before. Whether …
Complete Machine Learning Guide to Parameter Tuning in Gradient Boosting (GBM) in Python
Overview Learn parameter tuning in gradient boosting algorithm using Python Understand how to adjust bias-variance trade-off in machine learning for gradient boosting Introduction …
