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Welcome to the Sixth video of the series "Build your First Machine Learning Project". In this, we'll learn how to reduce the size of the data set. While working on ML models, you have to deal with large data sets. As the size of the dataset increases, the time to process the code for Data wrangling and training ML models increases. In this one, you will see how to reduce the size of pandas Data frames. Sometimes the size reduction can be drastic and it significantly reduces the size and improves the code run times. So let's understand How you can Optimize the size of Pandas Data Frame. Chapters 0:00 Introduction 0:25 Importing and Understanding Dataset 6:26 How to reduce the size of pandas dataframe 9:49 Function to optimize memory usage 11:25 Applying the Function In order to make the best out of this, please watch this series in the order in playlist: Build Your First ML Model Playlist: https://www.youtube.com/watch?v=KSsjPbowHQ0&list=PLFAYD0dt5xCymcvacfR4CLB9Pk_9L50gz Code examples Blog: https://www.machinelearningplus.com/data-manipulation/how-to-reduce-the-memory-size-of-pandas-data-frame/ Previous Lesson: 4. What is ML Modeling and Problem statement: https://www.youtube.com/watch?v=Bcfk4HKgC5E Earlier Lessons: 1. How to Formulate ML Problem: https://www.youtube.com/watch?v=ygayqatDEDk 2. Setup Python Environment: https://www.youtube.com/watch?v=Yk9BFMO6QXE 3. Jupyter Notebook Tutorial: https://www.youtube.com/watch?v=4yuo96HtTw8 Let me know in the comments section if you have any questions! If you enjoyed this video, be sure to throw it a like and make sure to subscribe to not miss any future videos! Thanks for watching! #mlmodeling, #python, #machinelearning, #artificialintelligence, #pandas, #datascience
