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Project - 4 (Case Study - 4) Part 1 | Data Analysis With Python Pandas Titanic - Machine Learning from Disaster Dataset Link: https://www.kaggle.com/c/titanic Features of the dataset: - survival - Survival (0 = No; 1 = Yes) - class - Passenger Class (1 = 1st; 2 = 2nd; 3 = 3rd) - name - Name - sex - Sex - age - Age - sibsp - Number of Siblings/Spouses Aboard - parch - Number of Parents/Children Aboard - ticket - Ticket Number - fare - Passenger Fare - cabin - Cabin - embarked - Port of Embarkation (C = Cherbourg; Q = Queenstown; S = Southampton) Questions : 1. Display Top 5 Rows of The Dataset 2. Check the Last 3 Rows of The Dataset 3. Find Shape of Our Dataset (Number of Rows & Number of Columns) 4. Get Information About Our Dataset Like Total Number Rows, Total Number of Columns, Datatypes of Each Column And Memory Requirement 5. Get Overall Statistics About The Dataframe 6. Data Filtering 7.Check Null Values In The Dataset 8. Drop the Column 9. Handle Missing Values 10. Categorical Data Encoding 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
