Uber wants to improve the accuracy of its fare prediction model. Help Uber by choosing the best data and AI technologies and building its next-generation model.

Mercedes-Benz wants to reduce the time it spends on the test bench. Faster testing will reduce a cars time to market. Build and optimize the ML algorithm to achieve this objective.

Amazon offers product recommendations based on customer activity and the buying habits of other shoppers. Help Amazon improve the recommendation engine for revenue per customer.

Use regression trees and random forests to find places where New York taxi drivers earn the most.

Experiment with clustering algorithms to help doctors inform treatment for heart disease patients.

Build a machine learning model to predict if a credit card application will get approved.

Learn to build recommendation systems to model individual user preference on Over-The- Top (OTT) media service platforms such as Netflix.

Learn to identify question pairs having same intent and detect duplicate questions by using Natural Language Processing (NLP) and advanced Machine Learning Techniques.

Learn to build a recommendation engine which suggests similar apparel products to a given apparel product on any e-commerce websites such as Amazon.

Learn to develop a high-performance automated tagging system to aid topic discovery in Stack Overflow, a popular online community to learn and share knowledge.

Learn to model the progression and treatment of cancerous conditions using patients medical records using supervised Machine learning Algorithms

Uncover the factors that lead to employee attrition and explore important questions such as ‘show me a breakdown of distance from home by job role and attrition’ or ‘compare average monthly income by education and attrition’

Machine Learning can be very helpful in case of dynamic pricing and can improve your KPI’s. This helpfulness comes from ML algorithm ability of learning new patterns from data. Those algorithms continuously learn from new information and detect new demands and trends

Social Media Ad Campaign marketing is a leading source of Sales Conversion and in this project learners will have to work on the optimization of the sales conversions

The insurance companies are extremely interested in the prediction of the future. Accurate prediction gives a chance to reduce financial loss for the company. The insurers use rather complex methodologies for this purpose

Can you predict how capable each applicant is of repaying a loan?

Can you cut the time a Mercedes-Benz spends on the test bench?

Maximize sales and minimize returns of bakery goods

To predict an item when sold, what is the probability that customer would file for warranty

When a business loses customers, it needs to bring new customers in to replace the loss in revenue. And that can get very expensive, because the costs of new customer acquisition is usually much more expensive than existing customer retention

In this project learners will have to predict the forecasted sales

The consumer credit department of a bank wants to automate the decision making process for approval of home equity lines of credit

Predict the cancer type is malignant or benign

1. Predicting staff that are likely to be promoted based on defined personal and performance parameters

1. Why do 30% of patients miss their scheduled appointments?

1. Data Science in Education makes it easy for administrators to keep an eye on the activities and teaching methods of the teachers. This helps them in identifying the most effective teaching methodologies

1. Forecast the brent oil price for next 1 year

1. Predict whether the  booking will be cancelled or not

1. The data for this project represents measurements of parts as they move through Bosch's production lines. Each part has a unique Id. The goal is to predict which parts will fail quality control

1. Predict the category of crimes that occurred in the city by the bay

1. Classify products into the correct category