Scikit-master is a no cost computer software machine learning library for the Python programming language. Find out about machine learning using scikit-study in this comprehensive study course.
💻 Code: https://github.com/DL-Academy/MachineLearningSKLearn
🔗 Scikit-discover internet site: https://scikit-learn.org
✏️ Study course from DL Academy. Check out out their YouTube channel: https://www.youtube.com/channel/UCTgBlZ1fmNa87NUY1xvoxpg
🔗 Watch far more courses listed here: https://thedlacademy.com/
⭐️ Study course Contents ⭐️
Chapter 1 – Obtaining Commenced with Machine Learning
⌨️ (:00) Introduction
⌨️ (:22) Setting up SKlearn
⌨️ (3:37) Plot a Graph
⌨️ (7:33) Features and Labels_1
⌨️ (11:45) Conserve and Open up a Design
Chapter 2 – Having a appear at some machine learning algorithms
⌨️ (13:47) Classification
⌨️ (17:28) Coach Take a look at Split
⌨️ (25:31) What is KNN
⌨️ (33:48) KNN Case in point
⌨️ (43:54) SVM Described
⌨️ (51:11) SVM Illustration
⌨️ (57:46) Linear regression
⌨️ (1:07:49) Logistic vs linear regression
⌨️ (1:23:12) Kmeans and the math beind it
⌨️ (1:31:08) KMeans Instance
Chapter 3 – Artificial Intelligence and the science guiding It
⌨️ (1:42:02) Neural Community
⌨️ (1:56:03) Overfitting and Underfitting
⌨️ (2:03:05) Backpropagation
⌨️ (2:18:16) Cost Purpose and Gradient Descent
⌨️ (2:26:24) CNN
⌨️ (2:31:46) Handwritten Digits Recognizer
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