Machine Learning
📄 59 ArticlesAda Boost Algorithm in Python
Gist of Adaptive boost Algorithm in layman’s term – If you want to improve the performance of a class then […]
Gradient Boosting in Python
I hope you are already done with the basic concepts of regression and have covered our previous post on Adaptive […]
Machine Learning using SQL – Day 6/100
The below article is the intellectual property of Ashish Kohli. This is one such article which actually powers the ability […]
Confusion Matrix in Data Science, meaning and example
What is Confusion Matrix?Confusion Matrix is a performance measuring technique for ML Classification model. Why do we need Confusion Matrix? […]
Explain p-value in simple terms
p-value in simple terms If you are into Data Science, then you must have heard about p-value.I could have started […]
What is the difference between forecasting and prediction?
Forecasting and Prediction are two different things. You always forecast weather, but never predict the weather. Forecasting is nothing but […]
Correlation and Collinearity explained in layman terms
Correlation tells you have two numerical variables relate to each other. It will tell you whether data points that have […]
Feature Engineering in Data Science
Have you ever wondered why two different people gets different accuracy while using the same algorithm?We all know that XGBoost […]
One Hot Encoding – Feature Engineering
So, I just started solving the latest Hackathon on Analytics Vidhya, Women in the loop . Be it a real-life […]
Linear, LASSO, Elastic Net, and Ridge Regression in Layman terms (R) with complete code – Part 1
Linear, LASSO, Elastic Net, and Ridge Regression are the four regression techniques which are helpful to predict or extrapolate the […]