Each project comes with 2-5 hours of micro-videos explaining the solution.
Get access to 50+ solved projects with iPython notebooks and datasets.
Add project experience to your Linkedin/Github profiles.
I came to the platform with no experience and now I am knowledgeable in Machine Learning with Python. No easy thing I must say, the sessions are challenging and go to the depths. I looked at graduate... Read More
This was great. The use of Jupyter was great. Prior to learning Python I was a self taught SQL user with advanced skills. I hold a Bachelors in Finance and have 5 years of business experience.. I... Read More
All State, a personal insurance company in the United States, is interested in leveraging data science to predict the severity and the cost of insurance claims post an unforeseen event.
This ensemble machine learning project will help you understand the best practices followed in approaching a data analytics problem through python language focusing on using data science packages. We will predict how severe insurance claims will be for All State. We accomplish this using ensemble machine learning algorithms.
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this data science project, you will learn to predict churn on a built-in dataset using Ensemble Methods in R.