Hindi Machine Learning Tutorial Hindi Machine Learning Tutorial 5 - Save Model Using Joblib And Pickle
Hindi Machine Learning Tutorial 5 - Save Model Using Joblib And Pickle Transcript and Lesson Notes
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
Quick Summary
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
Key Takeaways
- Review the core idea: 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
- Understand how joblib python tutorial fits into Hindi Machine Learning Tutorial 5 - Save Model Using Joblib And Pickle.
- Understand how machine learning pickle fits into Hindi Machine Learning Tutorial 5 - Save Model Using Joblib And Pickle.
- Understand how save model sklearn fits into Hindi Machine Learning Tutorial 5 - Save Model Using Joblib And Pickle.
- Understand how machine learning tutorial fits into Hindi Machine Learning Tutorial 5 - Save Model Using Joblib And Pickle.
Key Concepts
Full Transcript
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. #MachineLearningHindi #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #Joblib Code: https://github.com/codebasics/py/blob/master/ML/4_save_model/4_save_and_load_model_using_pickle.ipynb To download csv and code for all tutorials: go to https://github.com/codebasics/py, click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file. Website: http://codebasicshub.com/ Facebook: https://www.facebook.com/codebasicshub Twitter: https://twitter.com/codebasicshub
Lesson FAQs
What is Hindi Machine Learning Tutorial 5 - Save Model Using Joblib And Pickle about?
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
What key concepts are covered in this lesson?
The lesson covers joblib python tutorial, machine learning pickle, save model sklearn, machine learning tutorial, python machine learning.
What should I learn before Hindi Machine Learning Tutorial 5 - Save Model Using Joblib And Pickle?
Review the previous lessons in Hindi Machine Learning Tutorial, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: joblib python tutorial, machine learning pickle, save model sklearn, machine learning tutorial.
Does this lesson include a transcript?
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