Holiday Package Prediction

Problem Statement 1

"Trips & Travel.Com" company wants to enable and establish a viable business model to expand the customer base. One of the ways to expand the customer base is to introduce a new offering of packages. Currently, there are 5 types of packages the company is offering - Basic, Standard, Deluxe, Super Deluxe, King. Looking at the data of the last year, we observed that 18% of the customers purchased the packages. However, the marketing cost was quite high because customers were contacted at random without looking at the available information. The company is now planning to launch a new product i.e. Wellness Tourism Package. Wellness Tourism is defined as Travel that allows the traveler to maintain, enhance or kick-start a healthy lifestyle, and support or increase one's sense of well-being. However, this time company wants to harness the available data of existing and potential customers to make the marketing expenditure more efficient.

Why to prefer Random Forest instead of Decision Trees

Here I have tried to implement Random Forest Classifier Algorithm to solve this particular problem statement and also mentioned why we prefer Random Forest instead of Decision tress for some problem statements

Used Car Price Prediction

Problem Statement 2

1. This dataset comprises used cars sold on cardekho.com in India as well as important features of these cars.
2. If user can predict the price of a car based on input features.
3. Prediction results can be used to give new seller the price suggestion based on market condition.