Python Pandas in One Hour | Crash Course for Beginners | You need to know this for ML, GenAI

Video Description

If you appreciate the content and the hard work, Please 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 - https://www.youtube.com/@KeertiPurswani 𝐍𝐨𝐭𝐞𝐬 𝐚𝐫𝐞 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐡𝐞𝐫𝐞 𝐟𝐨𝐫 𝐅𝐫𝐞𝐞 - https://register.educosys.com/new-courses/32-free-machine-learning-course 𝐂𝐡𝐞𝐜𝐤𝐨𝐮𝐭 𝐝𝐞𝐭𝐚𝐢𝐥𝐬 𝐚𝐧𝐝 𝐞𝐧𝐫𝐨𝐥𝐥 𝐟𝐨𝐫 𝐨𝐮𝐫 𝐋𝐈𝐕𝐄 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 𝐡𝐞𝐫𝐞- https://www.educosys.com If you have any queries related to Educosys, please reach out to our team at +91 9084249327 𝐄𝐝𝐮𝐜𝐨𝐬𝐲𝐬 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦 - https://www.instagram.com/educosys 𝐄𝐝𝐮𝐜𝐨𝐬𝐲𝐬 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 - https://www.linkedin.com/company/98837223 You can also connect with me on- 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 - https://www.linkedin.com/in/keertipurswani 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦 (for personal, raw and real side of my life) - https://www.instagram.com/keerti.purswani The code is available here - https://github.com/keertipurswani/MachineLearningTutorials/blob/main/Pandas/pandas_tutorial.ipynb Timeline- 0:00 - Coming Up 0:32 - Need and Overview of Pandas 2:28 - Setup 3:12 - Educosys GenAI course 4:47 - import Pandas 5:09 - Data structure Series 6:40 - Intro to DataFrames | DataFrames Vs 2D Arrays 7:54 - Creation of DataFrames 9:15 - File Formats for Datasets 10:45 - Reading from CSV 12:30 - Accessing Data | Head(), Tail(), Sample() 15:47 - Details of DataFrames | Labels, Shape, Size, Info, Describe 20:13 - loc, iloc to Access Data 26:48 - at, iat for Single Value Access 30:20 - Accessing Columns, Shorthand and Dot Notation 32:22 - Filtering Data based on conditions 38:25 - Regular Expressions (Regex) 40:32 - Updating Data using loc 44:48 - iloc, at, iat for Updating Data 48:42 - Transform Data using apply() 51:47 - Lambda with apply() 54:56 - Transform or add new data using where() 57:04 - Insert and Drop Columns 1:02:07 - Delete and Rename Columns 1:04:44 - Merging DataFrames | inner, outer, left, right joins 1:11:33 - Concatenating DataFrames 1:14:30 - Handling Null Values | isna(), notna(), fillna(), dropna 1:26:11 - groupby() 1:27:32 - ThankYou! #softwaredevelopment #softwareengineer #machinelearningengineer #artificialintelligenceandmachinelearning