Welcome to the Machine Learning Fundamentals course! This is your gateway to understanding the core concepts of machine learning and its practical applications. Whether you're a beginner or looking to deepen your knowledge, this course provides a structured path to mastery.
📌 Course Overview
- Duration: 8 weeks (self-paced)
- Format: Video lectures + interactive exercises
- Prerequisites: Basic Python programming & math foundation
🧠 Key Topics Covered
Introduction to ML
- What is machine learning? 🤔
- Types of learning: Supervised, Unsupervised, Reinforcement 🔄Machine Learning Overview
Data Preprocessing
- Cleaning & transforming data 🧹
- Feature engineering techniques 🛠️Data Cleaning Process
Core Algorithms
- Linear Regression 📈
- Decision Trees 🌳
- K-Means Clustering 🧬Neural Network Diagram
Model Evaluation
- Metrics like accuracy, precision, recall 📊
- Cross-validation techniques 🧪Evaluation Metrics
📝 Why Enroll?
- Gain hands-on experience with real-world datasets 📁
- Build projects to showcase your skills 🏆
- Access exclusive resources: Explore AI Tools
🤖 Practical Projects
- Predict housing prices using regression 🏠
- Classify emails with spam detection 📧
- Cluster customer data for market analysis 📈
📚 Recommended Reading
For deeper insights, check out our Advanced Machine Learning Guide to expand your knowledge beyond the basics.
Let us know if you need help with any topic! 🙋♂️