Machine Learning Tutorials For Beginners Using Python In Hindi

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by Adam
Course level: Beginner
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Duration 4h 44m
Total Enrolled 2
Last Update December 24, 2020

Description

In this series, I have covered various Machine learning techniques for beginners. I have tried to cover all the ML Algorithms like linear regression, support vector machines, decision trees including the intricacies like how a linear regression works and how it evaluates loss for getting correct predictions using the loss function, python code for linear regression and gradient descent. I hope these videos will help you learn machine learning in Hindi.

Topics for this course

23 Lessons4h 44m

Why Learn Machine Learning?

Why Learn Machine Learning?05:56

ML Basics

Some Machine Learning Facts & Motivation06:31

What Are Features And Labels In ML?10:37

Data Collection For Machine Learning?11:15

Supervised And Unsupervised Learning!12:07

Installing Python Scikit learn For ML06:44

Training And Test Data In ML09:35

Simple Linear Regression Explained!13:52

Multiple Regression Model Explained!12:55

Linear Regression Code In Python Sklearn!26:20

How Does Linear Regression Model Work?18:10

Loss Functions and Gradient Descent17:26

Mini Batch and Stochastic Gradient Descent12:57

Supervised Learning : Classification12:18

K Nearest Neighbor Classification In Python12:48

K Nearest Neighbors: Pros, Cons and Working15:11

OverFitting And UnderFitting In Models Explained15:04

Logistic Regression : Overview And Working22:40

Coding Logistic Regression In Python49:36

Project 1: End To End Python ML Project (Complete)03:06:20

Handwritten Digit Recognition on MNIST dataset35:33

Precision, Recall, Confusion matrix & F1-Score40:23

https://www.youtube.com/watch?v=U7Fz-pSe03k&list=PLu0W_9lII9ai6fAMHp-acBmJONT7Y4BSG&index=2331:33

About the instructor

Adam

5.00 (3 ratings)

56 Courses

268 students