This Project uses Random Forest to predict the cost of Flights across Multiple cities in India.
This notebook highlights some of the MAJOR steps in machine learning such as:
1. Importance of Exploratory Data Analysis
2. Feature Engineering
3. Feature Selection -#Important feature using ExtractTrees Regressor ---> Heps to find which features are important for the model.
4. Hyper-Parameter Tuning
5. Saving the Model for re-use in future Using Pickel.
Some of the results of the process include: