One Hot Encoding & Dummy Variables in Hindi | Feature Engineering | Machine Learning Tutorial #5.16

Описание: Course name: “Machine Learning & Data Science – Beginner to Professional Hands-on Python Course in Hindi”

In the Data Preprocessing and Feature Engineering using Python tutorial in Hindi, we explained categorical variable encoding using One-Hot Encoding and dummy variables. Here we get help Pandas and Scikit learn to perform the operation.
1. What is categorical variable encoding?
2. Why need to encode the categorical variables?
3. Types of categorical variable encoding
4. Create k dummy variables using pandas get_dummies() function
5. Create k-1 dummy variables
6. Encode categorical variable using scikit-learn class OneHotEncoder
We use the tips dataset to perform the above operation.

Source code & study material: https://indianaiproduction.com/one-ho...
Categorical variables:    • Categorical Variables & types in Hindi | F...  
Missing Value Imputation using Scikit Learn Part 7:    • Missing Value Imputation with Scikit-Learn...  
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Course Playlists-
Data Cleaning Tutorial:    • Data Cleaning in Hindi | Data Preprocessin...  

Data Preprocessing and Feature Engineering Tutorial in Hindi:    • Data Preprocessing and Feature Engineering...  

Machine Learning & Data Science - Beginner to Professional Hands-on Python Course in Hindi:
   • Python NumPy Tutorial in Hindi 2023  

Python NumPy Tutorial in Hindi:
   • Python NumPy Tutorial in Hindi 2023  

Python Pandas Tutorial in Hindi
   • Python Pandas Tutorial in Hindi 2023  

Python Matplotlib Tutorial in Hindi:
   • Python Matplotlib Tutorial in Hindi 2023  

Python Seaborn Tutorial in Hindi:
   • Python Seaborn Tutorial in Hindi 2023  
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