Exploratory Data Analysis (EDA) - Use these 5 tactics on any ML project (..and wow!!)

Welcome to the Seventh video of the series "Build your First Machine Learning Project". In this, I'll walk you through Exploratory Data Analysis, as EDA is very crucial while building a Machine Learning Model. Exploratory Data Analysis is important for any business. It lets data scientists analyze the data before reaching any conclusion. Also, this makes sure that the results which are out are valid and applicable to business outcomes and goals. This video on Exploratory Data Analysis will provide in-depth information on the techniques and learning models in Data Science. So let's understand What is EDA. Chapters 0:00 What is EDA 5:28 EDA and its purposes 7:01 Example 1 8:55 Example 2 18:44 Example 3 25:22 Example 4 34:17 Example 5 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 Checkout Complete MachineLearningPlus Self Paced Online Courses here: https://edu.machinelearningplus.com/s/pages/ds-career-path Join ML+ membership for exclusive Data science content Previous Lesson: 5. Reduce the size of Pandas Dataframe: https://youtu.be/lkFy6vI_OXc 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 4. What is ML Modeling: https://youtu.be/Bcfk4HKgC5E Let me know in the comments section if you have any questions! 🤝 Like, Share, Subscribe for more! Follow us on our social media handles for all updates, events and live sessions- ✅ Instagram: https://www.instagram.com/machinelearningplus/ ✅ LinkedIn: https://www.linkedin.com/company/machine-learning-plus/ ✅ YouTube: https://www.youtube.com/@machinelearningplus ✅ Twitter: https://twitter.com/r_programming ✅ Website: https://www.machinelearningplus.com/ 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