Machine Learning with Python

Machine Learning with Python udemy course

Machine learning

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

What is Machine learning

Features of Machine Learning

Difference between regular program and machine learning program

Applications of Machine Learning

Types of Machine Learning

What is Supervised Learning

What is Reinforcement Learning

What is Neighbours algorithm

K Nearest Neighbours classification

K Nearest Neighbours Regression

Detailed Supervised Learning

Supervised Learning Algorithms

Linear Regression

Use Case(with Demo)

Model Fitting

Need for Logistic Regression

What is Logistic Regression?

Ridge and lasso regression

Support vector Machines

Pre process of Machine learning data

ML Pipeline

What is Unsupervised Learning

What is Clustering

Types of Clustering

Tree Based Modeles

What is Decision Tree

What is Random Forest

What is Adaboost

What is Gradient boosting

stochastic gradient boostinng

What is Naïve Bayes

Calculation using weather dataset

Entropy Calculation using weather dataset

Trees Entropy and Gini Maths Introduction

Pipeline with SimpleImputer and SVC

Pipeline with feature selection and SVC

Dropping Missing Data

Regression with categorical features using ridge algorithm

processing Categorical Features part2

processing Categorical Features

processing of machine learning data Delete Outliers

processing of machine learning data Outliers