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The AI Expert Kashif Murtaza explains Machine Learning and Data Science basics from Scratch. He explains the Supervised and Unsupervised Learning, the regression, and the classification problem.
In the second part of this video tutorial, you will go in deep and learn more about Python for Machine Learning using Scikit-Learn.
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction to the Course and Machine Learning applications
⌨️ (0:08:39) Why Machine Learning and Data Science Now
⌨️ (0:14:40) Learning from Data
⌨️ (0:21:48) Supervised Learning
⌨️ (0:26:56) Unsupervised Learning
⌨️ (0:29:29) Reinforcement Learning
⌨️ (0:33:25) Regression & Classification with Python
⌨️ (0:45:05) Data Encoding and Preprocessing
⌨️ (0:52:42) Machine Learning Models
⌨️ (1:14:16) Overfitting and Underfitting
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👁 About this video: In this Machine Learning video, we will learn the learning techniques.
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👋 About AI Sciences:
AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere.
We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars.
We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory or lengthy reading. Today, we also publish more complete books on selected topics for a wider audience.
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