L0 - Machine Learning Intution using KNIME
Objective
- Learn how to build basic Machine Learning models using KNIME
- Build Top 5 Use Cases in Machine Learning
- Classification
- Regression
- Clustering
- Forecasting
- Text Classification
Data Links
Next Steps
1/ Preprocessing
- Missing Values Treatment
- Numerical - Mean, Median, Mode
- Categorical - Most Frequent, Constant
- Outlier Treatment
- Numerical - Quartile Method
- Transformation
- Numerical - Standard Scaler
- Categorical - Not Required in KNIME
- Ensure Categories are less
2/ Validation
- Train Test Split
- 80% Train, 20% Test/Validation