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CodeWithHarry via YouTube Video playlist

Machine Learning Tutorials For Beginners Using Python In Hindi

Overview

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

  1. [Hindi] Why Learn Machine Learning? - Machine Learning Tutorials Using Python In Hindi
  2. [Hindi] Some Machine Learning Facts & Motivation - Machine Learning Tutorials Using Python In Hindi
  3. [Hindi] What Are Features And Labels In ML? - Machine Learning Tutorials Using Python In Hindi
  4. [Hindi] Data Collection For Machine Learning? - Machine Learning Tutorials Using Python In Hindi
  5. [Hindi] Supervised And Unsupervised Learning! - Machine Learning Tutorials Using Python In Hindi
  6. [Hindi] Installing Python Scikit learn For ML - Machine Learning Tutorials Using Python In Hindi
  7. [Hindi] Training And Test Data In ML - Machine Learning Tutorials Using Python In Hindi
  8. [Hindi] Simple Linear Regression Explained! - Machine Learning Tutorials Using Python In Hindi
  9. [Hindi] Multiple Regression Model Explained! - Machine Learning Tutorials Using Python In Hindi
  10. [Hindi] Linear Regression Code In Python Sklearn! - Machine Learning Tutorials In Hindi
  11. [Hindi] How Does Linear Regression Model Work? (Derivation) - Machine Learning Tutorials In Hindi
  12. [Hindi] Loss Functions and Gradient Descent - Machine Learning Tutorials Using Python In Hindi
  13. [Hindi] Mini Batch and Stochastic Gradient Descent -Machine Learning Tutorials Using Python In Hindi
  14. [Hindi] Supervised Learning : Classification - Machine Learning Tutorials Using Python In Hindi
  15. [Hindi] K Nearest Neighbor Classification In Python - Machine Learning Tutorials Using Python Hindi
  16. K Nearest Neighbors: Pros, Cons and Working - Machine Learning Tutorials Using Python In Hindi
  17. OverFitting And UnderFitting In Models Explained - Machine Learning Tutorials Using Python In Hindi
  18. Logistic Regression : Overview And Working - Machine Learning Tutorials Using Python In Hindi
  19. Coding Logistic Regression In Python | Machine Learning Tutorials Using Python In Hindi
  20. Project 1: End To End Python ML Project (Complete)| Machine Learning Tutorials Using Python In Hindi
  21. Handwritten Digit Recognition on MNIST dataset | Machine Learning Tutorials Using Python In Hindi
  22. Precision, Recall, Confusion matrix & F1-Score | Machine Learning Tutorials Using Python In Hindi
  23. 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.

CodeWithHarry is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (74/100). Hindi, beginner-friendly.

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