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Machine Learning with Python Full Course in 6 Hours | Python for Machine Learning Tutorial | Edureka
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This Edureka Machine Learning with Python Full Course video will help you understand and learn the fundamentals of Machine Learning. This Machine Learning Tutorial is ideal for both beginners as well as professionals who want to master Machine Learning Algorithms. Below are the topics covered in this Machine Learning with Python Full Course video:
🔸Module 1: Fundamentals of Machine Learning
00:00 Introduction
3:05 Need of Machine Learning
8:05 What is Machine Learning
12:50 Types of Machine Learning
21:07 Why Python for Machine Learning
25:00 Why Statistics for Machine Learning
29:20 Probability for Machine Learning
36:20 Statistics for Machine Learning
🔸Module 2: Data Exploration
44:05 Data Extraction techniques using Python
58:42 Visualization using Python Libraries
1:13:11 Data Cleaning Techniques
🔸Module 3: Data Modeling
1:30:02 What is Feature Engineering?
1:46:55 How to train a model?
2:03:26 Model Evaluation in Machine Learning
🔸Module 4: Machine Learning Algorithms
2:16:42 Top 10 Machine Learning Algorithms
🔸Module 5: Machine Learning Tools & Applications
2:45:48 Machine Learning Tools
2:56:00 Machine Learning Applications
🔸Module 6: Advanced Machine Learning
3:09:15 Advanced Machine Learning
🔸Module 7: Machine Learning Future & Career
3:22:06 Top trends of Machine Learning
3:41:11 Who is an ML Engineer?
3:42:32 Job Trends
3:42:52 Job Description
3:44:32 ML Engineer Resume
3:51:30 Companies Hiring ML Engineers
3:52:25 Machine Learning Engineer Skills
4:01:23 Machine Learning Core Interview Question
4:54:14 Machine Learning using Python Interview Question
5:05:47 Machine Learning Scenario-based Interview Question
#Edureka #EdurekaMachineLearning #MachineLearningPython #MachineLearningFullCourse #MachineLearningTutorialForBeginners #futureofMachineLearning #MachineLearningin2021 #MachineLearningExplained #MachineLearningEdureka #EdurekaTraining
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🔸Module 1: Fundamentals of Machine Learning
00:00 Introduction
3:05 Need of Machine Learning
8:05 What is Machine Learning
12:50 Types of Machine Learning
21:07 Why Python for Machine Learning
25:00 Why Statistics for Machine Learning
29:20 Probability for Machine Learning
36:20 Statistics for Machine Learning
🔸Module 2: Data Exploration
44:05 Data Extraction techniques using Python
58:42 Visualization using Python Libraries
1:13:11 Data Cleaning Techniques
🔸Module 3: Data Modeling
1:30:02 What is Feature Engineering?
1:46:55 How to train a model?
2:03:26 Model Evaluation in Machine Learning
🔸Module 4: Machine Learning Algorithms
2:16:42 Top 10 Machine Learning Algorithms
🔸Module 5: Machine Learning Tools & Applications
2:45:48 Machine Learning Tools
2:56:00 Machine Learning Applications
🔸Module 6: Advanced Machine Learning
3:09:15 Advanced Machine Learning
🔸Module 7: Machine Learning Future & Career
3:22:06 Top trends of Machine Learning
3:41:11 Who is an ML Engineer?
3:42:32 Job Trends
3:42:52 Job Description
3:44:32 ML Engineer Resume
3:51:30 Companies Hiring ML Engineers
3:52:25 Machine Learning Engineer Skills
4:01:23 Machine Learning Core Interview Question
4:54:14 Machine Learning using Python Interview Question
5:05:47 Machine Learning Scenario-based Interview Question
#Edureka #EdurekaMachineLearning #MachineLearningPython #MachineLearningFullCourse #MachineLearningTutorialForBeginners #futureofMachineLearning #MachineLearningin2021 #MachineLearningExplained #MachineLearningEdureka #EdurekaTraining
------------Edureka Online Training and Certification-----------
----------------Edureka Masters Programs------------
----------------------------------
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