Data Cleaning Full Course for Data Science, Data Analysis, Machine Learning [FREE] - 2024 Edition

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Timestamps:
00:00:00 Data Cleaning Course Introduction
00:02:11 What is Data Cleaning & How to use it?
00:08:59 What is a missing value & How to find it?
00:29:34 How to Handling Missing Values (Dropping)
00:39:32 How to Handling Missing Values (Imputing Category Data)
00:51:07 How to Handling Missing Values (Scikit-Learn)
00:58:24 What are One Hot Encoding & Dummy Variables?
01:13:27 What is Label Encoding?
01:21:59 What is Ordinal Encoding?
01:35:46 What is an Outlier and How to Handle It?
01:48:26 How to Remove Outliers using IQR?
02:01:03 How to Remove Outliers using Z Score?
02:20:02 What is Feature Scaling (Standardization)?
02:40:16 What is Feature Scaling (Normalization)?
02:50:50 How to Handle Duplicate Data?
03:02:22 How to Replace and Change Data Types?
03:11:12 Function Transformer

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