Simple Explanation on How Decision Tree Algorithm Makes Decisions
The decision tree is a very popular machine learning algorithm. It works for both linear and non-linear data. Also, it can be used for both classification and regression. With great…
Key rings background. (Nickel plated key rings)
Understanding Regularization in Plain Language: L1 and L2 Regularization
The meaning of the word regularization is “the act of changing a situation or system so that it follows laws or rules”. That’s what it does in the machine learning world…
Performance evaluation for machine learning models
An Overview of Performance Evaluation Metrics of Machine Learning(Classification) Algorithms in Python
Performance evaluation is the most important part of machine learning in my opinion. Because machine learning itself has become pretty easy because of all the libraries and packages. Anyone can…
Feature Selection Methods for Machine Learning
Three Popular Feature Selection Methods for Efficient Machine Learning in Python
Feature selection is one of the most important parts of machine learning. In most datasets in the real world, there might be many features. But not all the features are…
Stochastic Gradient Descent
Stochastic Gradient Descent: Explanation and Complete Implementation from Scratch
Stochastic gradient descent is a widely used approach in machine learning and deep learning. This article explains stochastic gradient descent using a single perceptron, using the famous iris dataset. I…
A Complete Tutorial on Logistic Regression, and Inference in R
One of the most basic, popular, and powerful statistical models is logistic regression. If you are familiar with linear regression, logistic regression is built upon linear regression. It uses the…
A Complete Image Classification Project Using Logistic Regression Algorithm
Logistic regression is very popular in machine learning and statistics. It can work on both binary and multiclass classification very well. I wrote tutorials on both binary and multiclass classification…
A Complete recommender System From Scratch in Python Using Linear Regression
Nowadays, we see recommendation systems everywhere. When you buy something in an online marketplace like Amazon, eBay, or any other place, they suggest similar products. On Netflix or youtube, you…
A Complete Anomaly Detection Algorithm From Scratch in Python
Anomaly detection can be treated as a statistical task as an outlier analysis. But if we develop a machine learning model, it can be automated and as usual, can save…
Univariate and Bivariate Gaussian Distribution: Clear explanation with Visuals
Gaussian distribution is the most important probability distribution in statistics and it is also important in machine learning. Because a lot of natural phenomena such as the height of a…