#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
