Machine Learning Tutorial Python - 7: Training and Testing Data
Skills:
ML Pipelines80%
sklearn.model_selection.train_test_split method is used in machine learning projects to split available dataset into training and test set. This way you can train and test on separate datasets. When you test your model using dataset that model didn't see during training phase, it will give you better idea on the accuracy of a model.
#MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #MachineLearningMethod #DataTraining #sklearntutorials #scikitlearntutorials
Code: https://github.com/codebasics/py/blob/master/ML/6_train_test_split/train_test_split.ipynb
Topics that are covered in this Video:
0:00 - Theory behind why we need to split given dataset into training and test using sklearn train set split method.
0:54 - Coding (Here we use car price prediction problem to demonstrate train test split)
2:14 - Use train_test_split from sklearn
3:54 - Use of random state method
4:49 - Use of fit() method to train your model
5:35 - Score() method (to check the accuracy of the model)
Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.
Next Video:
Machine Learning Tutorial Python - 8: Logistic Regression (Binary Classification): https://www.youtube.com/watch?v=zM4VZR0px8E&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=8
Very Simple Explanation Of Neural Network: https://www.youtube.com/watch?v=ER2It2mIagI
Populor Playlist:
Data Science Full Course: https://www.youtube.com/playlist?list=PLeo1K3hjS3us_ELKYSj_Fth2tIEkdKXvV
Data Science Project: https://www.youtube.com/watch?v=rdfbcdP75KI&list=PLeo1K3hjS3uu7clOTtwsp94PcHbzqpAdg
Machine learning tutorials: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw
Pandas: https://www.youtube.com/watch?v=CmorAWRsCAw&list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
matplotlib: https://www.youtub
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from codebasics · codebasics · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Python Tutorial - 1. Install python on windows
codebasics
Python Tutorial - 2. Variables
codebasics
Python Tutorial - 3. Numbers
codebasics
Python Tutorial - 4. Strings
codebasics
Python Tutorial - 5. Lists
codebasics
Python Tutorial - 6. Install PyCharm on Windows
codebasics
PyCharm Tutorial - 7. Debug python code using PyCharm
codebasics
Python Tutorial - 8. If Statement
codebasics
Python Tutorial - 9. For loop
codebasics
Python Tutorial - 10. Functions
codebasics
Python Tutorial - 11. Dictionaries and Tuples
codebasics
Python Tutorial - 12. Modules
codebasics
Python Tutorial - 13. Reading/Writing Files
codebasics
How to install Julia on Windows
codebasics
Python Tutorial - 14. Working With JSON
codebasics
Julia Tutorial - 1. Variables
codebasics
Julia Tutorial - 2. Numbers
codebasics
Python Tutorial - 15. if __name__ == "__main__"
codebasics
Julia Tutorial - Why Should I Learn Julia Programming Language
codebasics
Python Tutorial - 16. Exception Handling
codebasics
Julia Tutorial - 3. Complex and Rational Numbers
codebasics
Julia Tutorial - 4. Strings
codebasics
Python Tutorial - 17. Class and Objects
codebasics
Julia Tutorial - 5. Functions
codebasics
Julia Tutorial - 6. If Statement and Ternary Operator
codebasics
Julia Tutorial - 7. For While Loop
codebasics
Python Tutorial - 18. Inheritance
codebasics
Julia Tutorial - 8. begin and (;) Compound Expressions
codebasics
Python Tutorial - 12.1 - Install Python Module (using pip)
codebasics
Julia Tutorial - 9. Tasks (a.k.a. Generators or Coroutines)
codebasics
Julia Tutorial - 10. Exception Handling
codebasics
Python Tutorial - 19. Multiple Inheritance
codebasics
Python Tutorial - 20. Raise Exception And Finally
codebasics
Python Tutorial - 21. Iterators
codebasics
Python Tutorial - 22. Generators
codebasics
Python Tutorial - 23. List Set Dict Comprehensions
codebasics
Python Tutorial - 24. Sets and Frozen Sets
codebasics
Python Tutorial - 25. Command line argument processing using argparse
codebasics
Debugging Tips - What is bug and debugging?
codebasics
Debugging Tips - Conditional Breakpoint
codebasics
Debugging Tips - Watches and Call Stack
codebasics
Python Tutorial - 26. Multithreading - Introduction
codebasics
Git Tutorial 3: How To Install Git
codebasics
Git Tutorial 1: What is git / What is version control system?
codebasics
Git Tutorial 2 : What is Github? | github tutorial
codebasics
Git Tutorial 4: Basic Commands: add, commit, push
codebasics
Git Tutorial 5: Undoing/Reverting/Resetting code changes
codebasics
Git Tutorial 6: Branches (Create, Merge, Delete a branch)
codebasics
Git Github Tutorial 10: What is Pull Request?
codebasics
Git Tutorial 7: What is HEAD?
codebasics
Git Tutorial 9: Diff and Merge using meld
codebasics
Difference between Multiprocessing and Multithreading
codebasics
Python Tutorial - 27. Multiprocessing Introduction
codebasics
Python Tutorial - 28. Sharing Data Between Processes Using Array and Value
codebasics
Git Tutorial 8 - .gitignore file
codebasics
Python Tutorial - 29. Sharing Data Between Processes Using Multiprocessing Queue
codebasics
Python Tutorial - 30. Multiprocessing Lock
codebasics
Python Tutorial - 31. Multiprocessing Pool (Map Reduce)
codebasics
What is code?
codebasics
Python unit testing - pytest introduction
codebasics
More on: ML Pipelines
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Can You Turn “What I Want to Do” into a Runnable SeaTunnel Config with AI?
Medium · Machine Learning
If You Understand These 5 AI Terms, You’re Ahead of 90% of People
Medium · Machine Learning
Why Deleting Tests Can Be Healthy for Your Suite
Medium · Data Science
Overfitting vs Underfitting:
A Simple Explanation
Medium · Machine Learning
Chapters (6)
Theory behind why we need to split given dataset into training and test using
0:54
Coding (Here we use car price prediction problem to demonstrate train test spl
2:14
Use train_test_split from sklearn
3:54
Use of random state method
4:49
Use of fit() method to train your model
5:35
Score() method (to check the accuracy of the model)
🎓
Tutor Explanation
DeepCamp AI