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Building a Book Recommendation System with Collaborative Filtering

Building a Book Recommendation System with Collaborative Filtering

Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.

project

Building a Book Recommendation System with Collaborative Filtering (SHORT)

Building a Book Recommendation System with Collaborative Filtering (SHORT)

Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.

project

Cost of Living Profiles Across Global Cities

Cost of Living Profiles Across Global Cities

A hands-on exploratory data analysis (EDA) project using a global cost of living dataset. Learners will investigate, clean, and interpret cost indices for cities worldwide, uncovering economic patterns and insights that inform real-world decisions about affordability and global mobility.

project

Customer Churn Prediction Using Decision Trees

Customer Churn Prediction Using Decision Trees

A hands-on guided project where you will analyze the IBM Telco Customer Churn dataset, build a Decision Tree classifier, and extract actionable business insights to reduce churn and increase customer lifetime value.

project

Identifying Virality Factors in Trending YouTube Videos

Identifying Virality Factors in Trending YouTube Videos

A hands-on guided project for beginner to intermediate Python learners to analyze the YouTube Trending Video Statistics dataset. Students will clean, explore, and engineer features from real-world social media data, focusing on the relationship between text features and video virality.

project

Pokemon Power Analysis

Pokemon Power Analysis

Embark on a hands-on data science adventure in the Pokémon universe! Analyze Pokémon stats, engineer features, and build a machine learning model to predict Legendary status. This project guides you through real-world data science workflows using pandas, seaborn, and scikit-learn, all while exploring the mysteries of Pokémon power.

project

Urban Restaurant Market Structure and Cuisine Distribution

Urban Restaurant Market Structure and Cuisine Distribution

A hands-on project guiding learners through exploratory data analysis and visualization of a city's restaurant market using a real-world dataset. Students will clean data, analyze cuisine and price segments, compare cities, and uncover business opportunities in the HoReCa industry.
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Courses & Projects

Technologies

project

Building a Book Recommendation System with Collaborative Filtering

Building a Book Recommendation System with Collaborative Filtering

Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.

project

Building a Book Recommendation System with Collaborative Filtering (SHORT)

Building a Book Recommendation System with Collaborative Filtering (SHORT)

Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.

project

Cost of Living Profiles Across Global Cities

Cost of Living Profiles Across Global Cities

A hands-on exploratory data analysis (EDA) project using a global cost of living dataset. Learners will investigate, clean, and interpret cost indices for cities worldwide, uncovering economic patterns and insights that inform real-world decisions about affordability and global mobility.

project

Customer Churn Prediction Using Decision Trees

Customer Churn Prediction Using Decision Trees

A hands-on guided project where you will analyze the IBM Telco Customer Churn dataset, build a Decision Tree classifier, and extract actionable business insights to reduce churn and increase customer lifetime value.

project

Identifying Virality Factors in Trending YouTube Videos

Identifying Virality Factors in Trending YouTube Videos

A hands-on guided project for beginner to intermediate Python learners to analyze the YouTube Trending Video Statistics dataset. Students will clean, explore, and engineer features from real-world social media data, focusing on the relationship between text features and video virality.

project

Pokemon Power Analysis

Pokemon Power Analysis

Embark on a hands-on data science adventure in the Pokémon universe! Analyze Pokémon stats, engineer features, and build a machine learning model to predict Legendary status. This project guides you through real-world data science workflows using pandas, seaborn, and scikit-learn, all while exploring the mysteries of Pokémon power.

project

Urban Restaurant Market Structure and Cuisine Distribution

Urban Restaurant Market Structure and Cuisine Distribution

A hands-on project guiding learners through exploratory data analysis and visualization of a city's restaurant market using a real-world dataset. Students will clean data, analyze cuisine and price segments, compare cities, and uncover business opportunities in the HoReCa industry.

project

Building a Book Recommendation System with Collaborative Filtering

Building a Book Recommendation System with Collaborative Filtering

Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.

project

Building a Book Recommendation System with Collaborative Filtering (SHORT)

Building a Book Recommendation System with Collaborative Filtering (SHORT)

Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.

project

Cost of Living Profiles Across Global Cities

Cost of Living Profiles Across Global Cities

A hands-on exploratory data analysis (EDA) project using a global cost of living dataset. Learners will investigate, clean, and interpret cost indices for cities worldwide, uncovering economic patterns and insights that inform real-world decisions about affordability and global mobility.

project

Customer Churn Prediction Using Decision Trees

Customer Churn Prediction Using Decision Trees

A hands-on guided project where you will analyze the IBM Telco Customer Churn dataset, build a Decision Tree classifier, and extract actionable business insights to reduce churn and increase customer lifetime value.

project

Identifying Virality Factors in Trending YouTube Videos

Identifying Virality Factors in Trending YouTube Videos

A hands-on guided project for beginner to intermediate Python learners to analyze the YouTube Trending Video Statistics dataset. Students will clean, explore, and engineer features from real-world social media data, focusing on the relationship between text features and video virality.

project

Pokemon Power Analysis

Pokemon Power Analysis

Embark on a hands-on data science adventure in the Pokémon universe! Analyze Pokémon stats, engineer features, and build a machine learning model to predict Legendary status. This project guides you through real-world data science workflows using pandas, seaborn, and scikit-learn, all while exploring the mysteries of Pokémon power.

project

Urban Restaurant Market Structure and Cuisine Distribution

Urban Restaurant Market Structure and Cuisine Distribution

A hands-on project guiding learners through exploratory data analysis and visualization of a city's restaurant market using a real-world dataset. Students will clean data, analyze cuisine and price segments, compare cities, and uncover business opportunities in the HoReCa industry.
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