Data Analysis Projects | Pandas Projects | Data Analysis With Python Pandas | Case Studies - 5. Project - 3 (Case Study - 3) Part 2 | Data Analysis With Python Pandas

Project - 3 (Case Study - 3) Part 1 | Data Analysis With Python Pandas Dataset Link: https://www.kaggle.com/wenruliu/adult-income-dataset ---------------------------------------------------------------- In this project, we will discuss: - How to fetch random samples from the Dataset? - isin - between - unique - dropna - replace - duplicated - drop_duplicates - astype - apply - What is Univariate analysis? - What is Bivariate analysis? - Memory Optimization Questions: 10. Get Overall Statistics About The Dataframe 11. Drop The Columns education-num, capital-gain, and capital-loss 12. What Is The Distribution of Age Column? 13. Find Total Number of Persons Having Age Between 17 To 48 (Inclusive) Using Between Method 14. What is The Distribution of Workclass Column? 15. How Many Persons Having Bachelors and Masters Degree? 16. Bivariate Analsis 17. Replace Salary Values With 0 and 1 18. Which Workclass Getting The Highest Salary? 19.How Has Better Chance To Get Salary greater than 50K Male or Female? 20. Covert workclass Columns Datatype To Category Datatype Github Link: https://github.com/PRIYANG-BHATT/Datasets-Youtube-Pandas/tree/main/DS If you enjoy these tutorials, like the video, and give it a thumbs-up, and also share these videos with your friends and families if you think these videos would help him. Please consider clicking the SUBSCRIBE button to be notified of future videos. pandas practice projects pandas projects for beginners pandas python projects pandas project ideas python pandas project ideas python projects using pandas pandas project in python python pandas project example python pandas practice projects pandas project python pandas #PandasProject#DataAnalysisWithPandas