Worked on real time datasets using various classification and regression algorithms in R and Python.
Applying various classification and regression model techniques to predict the outcome in each of the problem statement.
Approach -
- Library for Preprocessing and Cleaning
- Load all Classification Packages and Accuracy Packages
- Load Data Set
- Analyse the Data
- LabelEncoder
- Split the Data into Train and Test
- Train the Model
- Check Confusion Matrix and Accuracy
- Data Visualization