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.
Videos in this playlist 23
[Hindi] Why Learn Machine Learning? - Machine Learning Tutorials Using Python In Hindi
[Hindi] Some Machine Learning Facts & Motivation - Machine Learning Tutorials Using Python In Hindi
[Hindi] What Are Features And Labels In ML? - Machine Learning Tutorials Using Python In Hindi
[Hindi] Data Collection For Machine Learning? - Machine Learning Tutorials Using Python In Hindi
[Hindi] Supervised And Unsupervised Learning! - Machine Learning Tutorials Using Python In Hindi
[Hindi] Installing Python Scikit learn For ML - Machine Learning Tutorials Using Python In Hindi
[Hindi] Training And Test Data In ML - Machine Learning Tutorials Using Python In Hindi
[Hindi] Simple Linear Regression Explained! - Machine Learning Tutorials Using Python In Hindi
[Hindi] Multiple Regression Model Explained! - Machine Learning Tutorials Using Python In Hindi
[Hindi] Linear Regression Code In Python Sklearn! - Machine Learning Tutorials In Hindi
[Hindi] How Does Linear Regression Model Work? (Derivation) - Machine Learning Tutorials In Hindi
[Hindi] Loss Functions and Gradient Descent - Machine Learning Tutorials Using Python In Hindi
[Hindi] Mini Batch and Stochastic Gradient Descent -Machine Learning Tutorials Using Python In Hindi
[Hindi] Supervised Learning : Classification - Machine Learning Tutorials Using Python In Hindi
[Hindi] K Nearest Neighbor Classification In Python - Machine Learning Tutorials Using Python Hindi
K Nearest Neighbors: Pros, Cons and Working - Machine Learning Tutorials Using Python In Hindi
OverFitting And UnderFitting In Models Explained - Machine Learning Tutorials Using Python In Hindi
Logistic Regression : Overview And Working - Machine Learning Tutorials Using Python In Hindi
Coding Logistic Regression In Python | Machine Learning Tutorials Using Python In Hindi
Project 1: End To End Python ML Project (Complete)| Machine Learning Tutorials Using Python In Hindi
Handwritten Digit Recognition on MNIST dataset | Machine Learning Tutorials Using Python In Hindi
Precision, Recall, Confusion matrix & F1-Score | Machine Learning Tutorials Using Python In Hindi
Evaluating Classifiers in Python: Precision, Recall & F1 Score | Machine Learning Tutorials In Hindi
Advantages and disadvantages
Advantages
Free and complete: every lecture is in the playlist, in order.
Watch at 1.5x, skip what you know, rewatch what you don't.
Taught in Hindi (or Hinglish), which many students find easier to follow.
Made for Indian students, with placement and exam context.
1,429,415 views, so help and notes are easy to find.
Completely free.
Self-paced: start any time.
A clear syllabus (23 videos) you can see before you start.
Disadvantages
No certificate, deadlines or graded work.
Quality and depth vary: check that the playlist is finished before you start.
Less depth than a university course on some topics.
No certificate.
No graded assignments or feedback.
Recorded in 2018: tools may have changed since.
Some points apply to every course of this kind; see how we rank.
Free
Free: Watch on YouTube, no account needed.
Certificate: None. Code or take notes along to make it stick.
Instructor: Prof. Gary Gensler View the complete course: https://ocw.mit.edu/15-S12F18 This course is for students wishing to explore blockchain technology’s potential use - by entrepreneurs & incumbents - to change the world of money and finance. License: Creative Commons BY-NC-SA More information…
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This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming, for concentrators and non-concentrators alike, with or without prior programming experience. (Two thirds of CS50 students have never taken CS before.) This course teaches…
Instructor: Ana Bell View the complete course: https://ocw.mit.edu/courses/6-100l-introduction-to-cs-and-programming-using-python-fall-2022/ *Note: Lectures 6, 10 have been updated! This subject is aimed at students with little to no programming experience. It aims to provide students with an under…