🤖 Java Machine Learning Demo

🚀 Overview

A beginner-friendly Java Machine Learning starter project designed to demonstrate fundamental ML concepts using Java. This repository provides practical, hands-on examples that bridge the gap between theoretical machine learning and real-world Java implementation.

✨ Key Features

• 📊 Linear Regression - Fundamental predictive modeling
• 🤖 Practical Examples - Real-world use cases and datasets
• ☕ Pure Java - No heavy ML frameworks, understand the fundamentals
• 📝 Well-Documented - Clear explanations and comments throughout
• 🎯 Beginner-Friendly - Perfect for learning ML with Java

🛠️ Tech Stack

• Language: Java (JDK 8+)
• Approach: Implementation from scratch for learning
• Focus: Understanding ML algorithms at a fundamental level

📚 What You'll Learn

• How machine learning algorithms work under the hood
• Implementing ML algorithms in Java from scratch
• Mathematical foundations of ML in practical code
• Data preprocessing and feature engineering
• Model training and evaluation

🚀 Getting Started

git clone https://github.com/Jerronce/java-learn-ml-demo.git
cd java-learn-ml-demo
javac *.java
java Main

💼 Why This Matters for Recruiters

✅ ML Fundamentals - Deep understanding of machine learning algorithms ✅ Java Proficiency - Implementing complex algorithms in Java ✅ Educational Value - Shows ability to explain and teach concepts ✅ Problem-Solving - Building ML solutions from first principles ✅ Foundation - Ready to work with enterprise ML frameworks

🔗 Connect

• LinkedIn: linkedin.com/in/jerronce
• Portfolio: jerronce.github.io

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☕ Java | 🤖 Machine Learning | 📊 Algorithms | 🎯 Educational