Data Science & Analytics
2,592 learners
Data Preprocessing For Machine Learning
This course covers essential data preprocessing techniques such as handling missing values, encoding categorical features, feature scaling, and splitting the dataset for training and testing.
Pandas
Python
Scikit-learn
5 lessons
23 practices
3 hours
Data Cleaning and Preprocessing
Course details
Handling Missing Values
Impute Missing Values Using Median Strategy
Fixing Missing Data in House Prices Dataset
Handle Missing Values in House Prices Dataset
Handling Missing Values in House Prices Dataset
Handling Missing Values for House Prices and Features
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