Data Science: Car Price Prediction-Model Building Deployment

This course is about predicting the price of a car based on its features using Machine Learning Models. This is a hands on project where I will teach you the step by step process in creating and evaluating a machine learning model and finally deploying the same on Cloud platforms to let your customers interact with your model via an user interface.

This course will walk you through the initial data exploration and understanding, data analysis, data preparation, model building and evaluation and deployment techniques. We will use XGBoost algorithm to create our model which helps us in predicting price of a car given its features.

At the end we will learn to create an User Interface to interact with our created model and finally deploy the same on Cloud.

I have splitted and segregated the entire course in Tasks below, for ease of understanding of what will be covered.

Task 1  :  Installing Packages

Task 2  :  Importing Libraries.

Task 3  :  Loading the data from source.

Task 4  :  Data Understanding

Task 5  :  Data Cleaning

Task 6  :  Performing Univariate analysis on variables.

Task 7  :  Performing Bivariate analysis on variables.

Task 8  :  Data binning to convert numerical variables to categorical variables.