Complete Crash Courses on Data Science, Python, ML, DL and Freelancing skills - Machine Learning with Python | Crash Course | ML-101 | اردو

#machinelearning_ka_chilla #machinelearning #python #python_ka_chilla #dataScience #python Complete playlist is here: https://www.youtube.com/watch?v=KYl9zmSt-Ik&list=PL9XvIvvVL50HHzaLPtFBOuikAWa0JdhMW You can join Telegram group from here: https://t.me/+R_QuSxdyn344Zjg0 Chapters in this Crash Course: 00:00:00 Machine Learning Introduction 00:39:50 Types of Machine Learning 00:41:53 1- Supervised 00:45:47 2- Unsupervised/Clustering 00:49:43 3- Semi-supervised 00:50:28 4- Reinforcement 00:59:10 Scikit-Learn Library 01:02:00 Simple Linear Regression 01:29:41 Multiple Linear Regression 01:40:54 Logistic Regression 01:59:59 Decision Tree Classifiers on Biryani (Hands-on) 02:23:28 Decision Tree Classifiers (Theory) 02:50:59 Decision Tree Classifiers on Iris (Hands-on) 02:55:00 Random Forest Model 03:26:34 Random Forest (Hands-on) 03:31:16 K-Nearest Neighbors (K-NN) Classification 03:48:50 Polynomial Regression Model 04:01:19 Polynomial Regression (Hands-on) 04:09:33 Naive Bayes Model (Theory) 04:21:29 Naive Bayes Model (Hands-on) 04:25:32 Support Vector Machines (SVM) (Theory) 04:54:43 Support Vector Machines (Hands-on) 05:01:00 Clustering # Thank you Nasir bhai for providing timestamps