Machine Learning -2

Predicting-Employees-Preferred-Mode-of-Transport-

Analyze the data of ABC consulting company, build a predictive model based on the parameters like age, salary, work experience and predict the preferred mode of transport.

Objective

The objective is to build various Machine Learning models on this data set and based on the accuracy metrics decide which model is to be finalized for finally predicting the mode of transport chosen by the employee.

Skills & Tools Covered

• EDA
• Data Preprocessing
• Customer Profiling
• Bagging Classifier (Bagging and Random Forest)
• Boosting Classifier (AdaBoost
• Gradient Boosting
• XGBoost)
• Stacking Classifier
• Hyperparameter Tuning using GridSearchCV