すべてのコースとプロジェクト

Building Applications Using OOP Concepts

This is a hands-on course that will help you understand the basics of object-oriented programming in Python. You will learn how to create classes, work with objects, use inheritance, and extend the capabilities of your programs.

Identifying Spam Emails

Classify emails as spam or non-spam by analyzing the content of the emails. Preprocess the text data using techniques like tokenization and vectorization, and apply machine learning to build and evaluate a classification model. Develop a reliable tool for identifying spam emails.

Identifying Spam Emails

Classify emails as spam or non-spam by analyzing the content of the emails. Preprocess the text data using techniques like tokenization and vectorization, and apply machine learning to build and evaluate a classification model. Develop a reliable tool for identifying spam emails.

Building a Classic Snake Game

In this project, you'll embark on a journey of game development, learning essential programming concepts while honing your creativity and problem-solving skills. Through step-by-step tutorials, you'll build a fully functional Snake game from scratch.

Hangman Game

A terminal-based Hangman game built step by step using Python. The project combines string manipulation, control flow, user input handling, and modular design to create a fully playable game with visual ASCII output and optional hints. The final result demonstrates how small utility functions can be orchestrated into a complete interactive application.

Analyzing Social Influences on High School Performance

Explore how romantic relationships may impact academic performance differently for male and female students using statistical analysis and visualization.

Detecting Credit Card Fraud with Machine Learning

This project teaches practical fraud detection using machine learning, focusing on data preprocessing, model training, evaluation, and threshold optimization.

Data-Driven Insights from the 2019 World Happiness Report

Explore relationships between economic, social, and health factors and happiness by analyzing the 2019 World Happiness Report dataset.

Detecting Fake Job Postings with Machine Learning

Build a machine learning system to detect fraudulent job postings using text analysis and structured metadata for robust automated screening.

Investigating Diabetes Risk Factors

This course guides you through analyzing real-world health data to uncover key diabetes risk factors and inform targeted public health interventions.

Optimizing Bank Telemarketing Campaigns

This project empowers you to analyze marketing campaign data, evaluate communication effectiveness, and apply statistical methods for data-driven recommendations.

Predicting Potable Water Quality

Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.

Predicting Red Wine Quality with Machine Learning

Explore how machine learning can reveal key chemical traits that distinguish high-quality red wines using real-world data.

Analyzing Department Revenue

A hands-on project for professional developers to analyze and merge departmental performance and structure data using pandas. Learn to load, inspect, clean, filter, merge, and aggregate real-world datasets with persistent variables across chapters.

Animal Crossing Villager Personality Clustering

A hands-on guided project using the Animal Crossing: New Horizons villager dataset to explore feature engineering, clustering, and basic NLP for uncovering hidden personality archetypes and analyzing dialogue styles.

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Reinforcement Learning with Python

コースとプロジェクト

キャリアトラック

Reinforcement Learning with Python

トラック

Reinforcement Learning with Python

コースとプロジェクト

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