Data Analysis Projects | Pandas Projects | Data Analysis With Python Pandas | Case Studies - 4. Project - 3 (Case Study - 3) Part 1 | 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 : 1.Display Top 10 Rows of The Dataset 2. Check Last 10 Rows of The Dataset 3. Find Shape of Our Dataset (Number of Rows And Number of Columns) 4. Getting Information About Our Dataset Like Total Number Rows, Total Number of Columns, Datatypes of Each Column And Memory Requirement 5. Fetch Random Sample From the Dataset (50%) 6.Check Null Values In The Dataset 7.Perform Data Cleaning [ Replace '?' with NaN ] 8. Drop all The Missing Values 9. Check For Duplicate Data and Drop Them 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