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Machine Learning Fundamentals

A comprehensive introduction to machine learning concepts, algorithms, and practical applications. From basic statistics to neural networks, this course builds a solid foundation for aspiring data scientists and ML engineers.

5
Modules
18
Lessons
12 hours
Duration
92%
Quality

Thinkific Import

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Native format for direct import into your Thinkific site

JSON + Markdown bundle

SCORM 2004

Universal

Industry standard LMS package compatible with any SCORM-compliant platform

SCORM 2004 4th Edition (.zip)

Standalone HTML

Portable

Self-contained HTML site with all content, styling, and interactivity

Static HTML + CSS + JS (.zip)

Export Preview — Course Structure

What will be included in the export

Module 1: Introduction to Machine LearningBeginner
What is Machine Learning?20 min
Types of Machine Learning25 min
Real-World ML Applications15 min
Setting Up Your ML Environment20 min
Module 2: Data Preparation & Feature EngineeringBeginner
Exploratory Data Analysis30 min
Handling Missing Data & Outliers25 min
Feature Scaling & Encoding25 min
Feature Engineering Techniques20 min
Module 3: Supervised Learning AlgorithmsIntermediate
Linear Regression30 min
Logistic Regression & Classification25 min
Decision Trees & Random Forests30 min
Model Evaluation Metrics25 min
Module 4: Unsupervised Learning & ClusteringIntermediate
K-Means Clustering25 min
Hierarchical Clustering & DBSCAN20 min
Dimensionality Reduction with PCA25 min
Module 5: Neural Networks & Deep LearningAdvanced
Neural Network Fundamentals30 min
Training Neural Networks30 min
Building Models with Keras25 min
Convolutional Neural Networks (CNNs)25 min