Machine Learning Python Course | Machine Learning Tutorial For Beginners | Intellipaat
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In this video on Machine Learning Python Course, you will learn what is Machine learning, Machine learning algorithms, Machine learning Project using Python, Mathematics for Machine Learning
, Building machine learning classifier in python with Sckit-learn, Hyperparameter Tuning Machine Learning, Machine Learning on Kubernetes, AI Vs ML, Machine Learning Engineer Job, Salary and career, Machine Learning Interview questions by AI experts. This Machine Learning Tutorial For Beginners is a must-watch video for everyone who wishes to learn AI, ML, and Python and make a career in it.
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00:00 - Machine Learning Python Course
01:50 - What is Machine Learning?
04:55 - Types of Machine Learning
13:19 - What is Classification?
15:15 - Supervised and Unsupervised Machine Learning
42:32 - Types of Classification
57:10 - What is Regression?
58:43 - Types of Regression
01:04:03 - Popular Algorithms
01:05:28 - Supervised Algorithms
01:14:27 - Linear Regression Model
01:48:37 - Machine Learning Project using Python
02:53:01 - What is Scikit Learn?
02:58:44 - Steps in Building a Classifier
03:04:32 - Demo
03:51:16 - Kubeflow
03:53:08 - What is Kubeflow
03:54:47 - What is Kubernetes
03:56:19 - Who built Kubeflow
03:57:35 - How will Kuberflow help?
04:03:03 - Kuberflow + Kubernetes
04:08:02 - Components of Kubeflow
04:11:29 - Kuberflow + Machine Learning
04:13:04 - Machine Learning Complexity
04:17:12 - Kubeflow Launch
04:18:58 - Advantages of Kubeflow
04:27:00 - Comparison Artificial Intelligence vs Machine Learning
04:33:00 - When to use AI or ML
04:36:30 - Who is a Machine Learning Engineer
04:38:39 - Machine Learning Engineer Requirements
04:43:40 - Roles and Responsibilities of ML Engineer
04:48:36 - Machine Learning Engineer Job Trends
04:52:56 - Machine Learning Engineer Job Description
04:56:24 - Machine Learning Engineer Salary
04:58:36 - Building your Resume
05:02:52 - Machine Learning Interview Questions and Answers
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