Use Cases

Determine Ideal Customer Profile Using Unsupervised Learning

This case focuses on building strong foundation on the concepts of Unsupervised Learning Techniques on clustered data.

Difficulty: Beginner
Duration: Approximately 2 hours

Improving Product Quality With Feature Engineering

The project emphasizes on building a strong foundation on Feature engineering techniques for cleaning and organizing the data.

Difficulty: Advanced
Duration: Approximately 3 hours

Retail & Consumer Goods

Forecasting Price and Sales of Avocados

This project emphasizes on the concepts of Time series analysis and Forecasting models.

Difficulty: Beginner
Approx. 15 hours to complete

Retail & Consumer Goods

Customer Sentiment Analysis for an e-Commerce Retailer

This project lays down the foundation on the core concepts of Unsupervised machine learning algorithms and how it can be used to analyze and understan

Difficulty: Intermediate
Duration: Approximately 3 hours

Retail & Consumer Goods

Monthly Demand Forecasting in Retail

This project focuses on providing retailers a strong foundation for demand forecasting best practices in the retail environment.

Difficulty: Advanced
Duration: Approximately 3 hours

Retail & Consumer Goods

Demand Forecasting for a Global Retail Company

This project provides a foundational knowledge to build and apply time series forecasting models in a variety of business contexts.

Difficulty: Advanced
Duration: Approximately 3 hours

Retail & Consumer Goods

Browsing or Purchasing: Predicting Online Shoppers Purchasing Intentions

This project focuses on the application of classification models to identify potential customers among different browsers of an E-Commerce website.

Difficulty: Advanced
Difficulty: Approximately 3 hours

Retail & Consumer Goods

Measuring Online Customer Loyalty in Retail

This project emphasizes on Recency, frequency, monetary value (RFM) model building and its application in business analytics.

Difficulty: Intermediate
Duration: Approximately 3 hours

Retail & Consumer Goods

Analyzing and Predicting Laptop Prices for an Online Retailer

This project focuses on building a strong foundation on the concept of Regression Model Building and how it can be used to build a future prediction m

Difficulty: Advanced
Difficulty: Approximately 3 hours

Retail & Consumer Goods

Retail Sales Insights Using Statistical Analysis

This project emphasizes on the core concept of Data mining Techniques and Statistical tests to validate the hypotheses.

Difficulty: Advanced
Duration: Approximately 3 hours

Retail & Consumer Goods

Customer Segmentation for an e-Commerce Retailer

This project lays down the foundation on the core concepts of Unsupervised machine learning algorithms and how it can be used to analyze and understan

Difficulty: Intermediate
Duration: Approximately 3 hours