Each project comes with 2-5 hours of micro-videos explaining the solution.
Code & Dataset
Get access to 50+ solved projects with iPython notebooks and datasets.
Add project experience to your Linkedin/Github profiles.
Selection of algorithm specific to problem
How to prepare the data for ML algorithms
How to visualize the data
Understanding Ensemble techniques like GBM & Random forest and XGB
Model Regularization(Bias & Variance Tradeoff)
How to apply Neural Network on regression problem
A retail company ABC Private Limited wants to understand the customer purchase behaviour (specifically, purchase amount) against various products of different categories. They have shared purchase summary of various customers for selected high volume products from last month.
The data set also contains customer demographics (age, gender, marital status, city_type, stay_in_current_city), product details (product_id and product category) and Total purchase_amount from last month.
Now, they want to build a model to predict the purchase amount of customer against various products which will help them to create personalized offer for customers against different products.