Scikit-Learn Course - Machine Learning in Python Tutorial

Scikit-learn is a free software machine learning library for the Python programming language. Learn about machine learning using scikit-learn in this full course. 💻 Code: https://github.com/DL-Academy/MachineLearningSKLearn 🔗 Scikit-learn website: https://scikit-learn.org ✏️ Course from DL Academy. Check out their YouTube channel: https://www.youtube.com/channel/UCTgBlZ1fmNa87NUY1xvoxpg 🔗 View more courses here: https://thedlacademy.com/ ❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba)0 ⭐️ Course Contents ⭐️ Chapter 1 - Getting Started with Machine Learning ⌨️ (0:00) Introduction ⌨️ (0:22) Installing SKlearn ⌨️ (3:37) Plot a Graph ⌨️ (7:33) Features and Labels_1 ⌨️ (11:45) Save and Open a Model Chapter 2 - Taking a look at some machine learning algorithms ⌨️ (13:47) Classification ⌨️ (17:28) Train Test Split ⌨️ (25:31) What is KNN ⌨️ (33:48) KNN Example ⌨️ (43:54) SVM Explained ⌨️ (51:11) SVM Example ⌨️ (57:46) Linear regression ⌨️ (1:07:49) Logistic vs linear regression ⌨️ (1:23:12) Kmeans and the math beind it ⌨️ (1:31:08) KMeans Example Chapter 3 - Artificial Intelligence and the science behind It ⌨️ (1:42:02) Neural Network ⌨️ (1:56:03) Overfitting and Underfitting ⌨️ (2:03:05) Backpropagation ⌨️ (2:18:16) Cost Function and Gradient Descent ⌨️ (2:26:24) CNN ⌨️ (2:31:46) Handwritten Digits Recognizer -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news