Machine Learning Fundamentals: From Theory to Practice

Core machine learning algorithms, data preprocessing, model evaluation, scikit-learn, neural network basics, and practical projects with real-world datasets

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担当者	OdooBot
最終更新	2026/04/08
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Introduction to Machine Learning

5レッスン ·
- What is Machine Learning?
- What is Machine Learning? - Quiz
  
  10 xp
- Supervised vs Unsupervised Learning
- Key Terminology in Machine Learning
- Real-World Applications of Machine Learning
Data Preprocessing Techniques

4レッスン ·
- Data Cleaning Basics
- Handling Missing Values
- Outlier Detection and Treatment
- Data Normalization and Standardization
Core Machine Learning Algorithms

4レッスン ·
- Linear Regression
- Decision Trees
- Ensemble Methods - Random Forest
- Model Evaluation Techniques
Introduction to Neural Networks

4レッスン ·
- Neural Network Architecture
- Building a Simple Neural Network
- Training and Evaluating Neural Networks
- Applications of Neural Networks
Capstone Project

4レッスン ·
- Project Selection and Planning
- Data Collection and Preprocessing
- Model Development and Evaluation
- Project Presentation and Reflection