Data Science: Diabetes Prediction- Model Building Deployment

This course is about predicting whether or not the person has diabetes 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, evaluation and deployment techniques. We will explore multiple ML algorithms to create our model and finally zoom into one which performs the best on the given dataset.

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  :  Pandas Profiling

Task 5  :  Understanding the data

Task 6  :  Data Cleaning and Imputation

Task 7  :  Train Test Split

Task 8  :  Scaling using StandardScaler