FreeAI/Machine Learningbeginner

Machine Learning

Name: Machine Learning
Availability: InStock

This course introduces you to the basics of machine learning and covers concepts such as single and multiple variable linear regression.

2 weeksEN9 lessons570 enrolled

Curated from YouTube

This course was hand-picked from YouTube by our experts and organized into a structured, step-by-step curriculum.

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Course Curriculum

1 modules · 4 subjects · 9 lessons

python seriesA series on machine learning with Python

4 subjects

Foundations and Data HandlingNew Description

3 lessons

Introduction to Machine LearningThis lesson introduces the basics of machine learning, its applications, and key terminology
Linear RegressionThis lesson covers the theory and implementation of linear regression for predicting continuous values.
Data Preprocessingthis lesson focuses on preparing data for machine learning models, including handling categorical data and splitting data for training and testing.

Supervised Learning AlgorithmsNew Description

2 lessons

Classification AlgorithmsA comprehensive look at various classification algorithms from simple to complex.
Model PersistenceThis lesson covers how to save and load trained models for future use.

Unsupervised Learning & Advanced ConceptsNew Description

2 lessons

Clustering and Dimensionality ReductionYou'll be introduced to unsupervised learning and techniques for grouping data and reducing features.
Model OptimizationThis lesson covers methods for improving model performance through hyper-parameter tuning and regularization.

Capstone projectsNew Description

2 lessons

Real Estate Price PredictionYou will build a complete real estate price prediction website using machine learning.
Image ClassificationBuild an end-to-end project to classify images using a machine learning model.

Skill Track

AI/Machine Learning

Multiply your developer leverage using autonomous AI coding workflows and LLMs. Master working alongside leading tools like Cursor, Claude Code, Windsurf, and Bolt.new.