Code to CEO

Introduction Of Mathematics for Machine Learning [[

Numpy Array Creation ll

Types of Data in Statistics — Explained with Simple Examples!

Sampling in Statistics for Machine Learning ll

Introduction of Statistics for Machine Learning ll

Bagging Boosting Machine Learning ll

Pre Proning and Post Proning in a Decision Tree ll Machine Learning ll

Decision Tree for Numerical Features ll Machine Learning ll

Information Gain In Decision Tree for Machine Learning ll

Entropy and Gini Impurity for Decision Tree ll

Decision Tree Algoritham for machine Learning

Soft Margins And Hard Margin in SVM ll

Kernal in Support Vector Machine ll

Support Vector Machine Theory ll Machine Learning

Logistic Regression Practicle

Performance matrics for a classification problem in machine learning

How Logistic Regression Solve Classification Problem

Logistic Regression ll why not Linear Regression

Handle Imbalance Data using SMOTE ll Machine learning

Categorical Feature Encoding

Standard Scaler for Data Science ll

Overfitting & Underfitting

Bias and Variance for Machine Learning ll

Simple Calculater using Conditional Statement ll

Condition Statement in Python ll

Matrix Multiplication ll

Convergence Algorithm ll

Simple Linear Regression Cost Function ll

Simple Linear Regression ll

Matrix Addition & Substraction ll