Machine Learning Course Index — Dataplexa

Machine Learning

Machine Learning
Course Index

45 Lessons · 3 Levels

End-to-end ML roadmap — ML foundations, math, algorithms, feature engineering, model training, tuning, real-world pipelines, deep learning fundamentals, and deployment.

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45Lessons

3Levels

2Projects

FreeAccess

Level I Beginner Level Lessons 1–15

Introduction to Machine Learning

Types of Machine Learning

Machine Learning Workflow

Data Preprocessing

Feature Scaling

Data Visualization for ML

Statistics for ML

Linear Algebra (Basics)

Probability for ML

Overfitting & Underfitting

Train/Test Split

Cross-Validation

Bias–Variance Tradeoff

ML Evaluation Metrics

Level II Intermediate Level Lessons 16–30

Linear Regression

Logistic Regression

Gradient Boosting

Support Vector Machines

Clustering (K-Means)

Hierarchical Clustering

Dimensionality Reduction

PCA (Principal Component Analysis)

Feature Selection

Feature Engineering

Level III Advanced Level Lessons 31–45

Hyperparameter Tuning

Model Deployment

Model Monitoring

Reinforcement Learning

Neural Networks (Basics)

Intro to Deep Learning

Regularization Techniques

Transfer Learning

ML Case Studies

Mini ML Project

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Machine Learning Course Index

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