Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle

codebasics · Beginner ·📊 Data Analytics & Business Intelligence ·7y ago

Training machine learning model can be quite time consuming if training dataset is very big. In this case it makes sense to train a model and save it to a file so that later on while making predictions you can just load that model from a file and you don't need to train it every time. Pickle and sklearn joblib modules can be used for this purpose. Joblib seems to be more efficient with big numpy arrays hence it is preferred when you have many numpy objects involved in your training step. #MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #…

Watch on YouTube ↗ (saves to browser)

Chapters (6)

Saving trained model to the file

0:14 How to solve a problem using machine learning?

1:33 Coding

2:06 Save model using pickle module

5:10 Save model using joblib module

5:13 Difference between pickle and joblib?

Playlist

Uploads from codebasics · codebasics · 0 of 60

← Previous Next →

Python Tutorial - 1. Install python on windows

Python Tutorial - 1. Install python on windows

Python Tutorial - 2. Variables

Python Tutorial - 2. Variables

Python Tutorial - 3. Numbers

Python Tutorial - 3. Numbers

Python Tutorial - 4. Strings

Python Tutorial - 4. Strings

Python Tutorial - 5. Lists

Python Tutorial - 5. Lists

Python Tutorial - 6. Install PyCharm on Windows

Python Tutorial - 6. Install PyCharm on Windows

PyCharm Tutorial - 7. Debug python code using PyCharm

PyCharm Tutorial - 7. Debug python code using PyCharm

Python Tutorial - 8. If Statement

Python Tutorial - 8. If Statement

Python Tutorial - 9. For loop

Python Tutorial - 9. For loop

Python Tutorial - 10. Functions

Python Tutorial - 10. Functions

Python Tutorial - 11. Dictionaries and Tuples

Python Tutorial - 11. Dictionaries and Tuples

Python Tutorial - 12. Modules

Python Tutorial - 12. Modules

Python Tutorial - 13. Reading/Writing Files

Python Tutorial - 13. Reading/Writing Files

How to install Julia on Windows

How to install Julia on Windows

Python Tutorial - 14. Working With JSON

Python Tutorial - 14. Working With JSON

Julia Tutorial - 1. Variables

Julia Tutorial - 1. Variables

Julia Tutorial - 2. Numbers

Julia Tutorial - 2. Numbers

Python Tutorial - 15. if __name__ == "__main__"

Python Tutorial - 15. if __name__ == "__main__"

Julia Tutorial - Why Should I Learn Julia Programming Language

Julia Tutorial - Why Should I Learn Julia Programming Language

Python Tutorial - 16. Exception Handling

Python Tutorial - 16. Exception Handling

Julia Tutorial - 3. Complex and Rational Numbers

Julia Tutorial - 3. Complex and Rational Numbers

Julia Tutorial - 4. Strings

Julia Tutorial - 4. Strings

Python Tutorial - 17. Class and Objects

Python Tutorial - 17. Class and Objects

Julia Tutorial - 5. Functions

Julia Tutorial - 5. Functions

Julia Tutorial - 6. If Statement and Ternary Operator

Julia Tutorial - 6. If Statement and Ternary Operator

Julia Tutorial - 7. For While Loop

Julia Tutorial - 7. For While Loop

Python Tutorial - 18. Inheritance

Python Tutorial - 18. Inheritance

Julia Tutorial - 8. begin and (;) Compound Expressions

Julia Tutorial - 8. begin and (;) Compound Expressions

Python Tutorial - 12.1 - Install Python Module (using pip)

Python Tutorial - 12.1 - Install Python Module (using pip)

Julia Tutorial - 9. Tasks (a.k.a. Generators or Coroutines)

Julia Tutorial - 9. Tasks (a.k.a. Generators or Coroutines)

Julia Tutorial - 10. Exception Handling

Julia Tutorial - 10. Exception Handling

Python Tutorial - 19. Multiple Inheritance

Python Tutorial - 19. Multiple Inheritance

Python Tutorial - 20. Raise Exception And Finally

Python Tutorial - 20. Raise Exception And Finally

Python Tutorial - 21. Iterators

Python Tutorial - 21. Iterators

Python Tutorial - 22. Generators

Python Tutorial - 22. Generators

Python Tutorial - 23. List Set Dict Comprehensions

Python Tutorial - 23. List Set Dict Comprehensions

Python Tutorial - 24. Sets and Frozen Sets

Python Tutorial - 24. Sets and Frozen Sets

Python Tutorial - 25. Command line argument processing using argparse

Python Tutorial - 25. Command line argument processing using argparse

Debugging Tips - What is bug and debugging?

Debugging Tips - What is bug and debugging?

Debugging Tips - Conditional Breakpoint

Debugging Tips - Conditional Breakpoint

Debugging Tips - Watches and Call Stack

Debugging Tips - Watches and Call Stack

Python Tutorial - 26. Multithreading - Introduction

Python Tutorial - 26. Multithreading - Introduction

Git Tutorial 3: How To Install Git

Git Tutorial 3: How To Install Git

Git Tutorial 1: What is git / What is version control system?

Git Tutorial 1: What is git / What is version control system?

Git Tutorial 2 : What is Github? | github tutorial

Git Tutorial 2 : What is Github? | github tutorial

Git Tutorial 4: Basic Commands: add, commit, push

Git Tutorial 4: Basic Commands: add, commit, push

Git Tutorial 5: Undoing/Reverting/Resetting code changes

Git Tutorial 5: Undoing/Reverting/Resetting code changes

Git Tutorial 6: Branches (Create, Merge, Delete a branch)

Git Tutorial 6: Branches (Create, Merge, Delete a branch)

Git Github Tutorial 10: What is Pull Request?

Git Github Tutorial 10: What is Pull Request?

Git Tutorial 7: What is HEAD?

Git Tutorial 7: What is HEAD?

Git Tutorial 9: Diff and Merge using meld

Git Tutorial 9: Diff and Merge using meld

Difference between Multiprocessing and Multithreading

Difference between Multiprocessing and Multithreading

Python Tutorial - 27. Multiprocessing Introduction

Python Tutorial - 27. Multiprocessing Introduction

Python Tutorial - 28. Sharing Data Between Processes Using Array and Value

Python Tutorial - 28. Sharing Data Between Processes Using Array and Value

Git Tutorial 8 - .gitignore file

Git Tutorial 8 - .gitignore file

Python Tutorial - 29. Sharing Data Between Processes Using Multiprocessing Queue

Python Tutorial - 29. Sharing Data Between Processes Using Multiprocessing Queue

Python Tutorial - 30. Multiprocessing Lock

Python Tutorial - 30. Multiprocessing Lock

Python Tutorial - 31. Multiprocessing Pool (Map Reduce)

Python Tutorial - 31. Multiprocessing Pool (Map Reduce)

Python unit testing - pytest introduction

Python unit testing - pytest introduction

This Excel feature will save you hours.

This Excel feature will save you hours.