Machine Learning – Free Online Course
Step into the world of intelligent systems with our Free Machine Learning Course – designed for aspiring data scientists, tech learners, and professionals aiming to harness the power of data-driven decision-making. Explore how machines learn patterns, make predictions, and automate tasks across industries.
Course Duration
9 Hours
Why Join?
- 100% Free – No hidden charges
- Learn from experienced ML practitioners with real-world project exposure
- Ideal for beginners, students, and professionals transitioning into tech
- Hands-on learning with practical exercises and datasets
- Earn a Certificate of Participation
Ready to lead projects successfully and elevate your career?
What You’ll Learn
Machine Learning Introduction
Get started with the foundations. These lessons cover core ideas, definitions, and the basic workflow of machine learning to set the stage for everything that follows.
Supervised Learning – Regressive Algorithms
Dive into regression‑based supervised learning. Learn how to predict continuous outcomes using common algorithms, understand loss functions, and grasp how to measure error in predictions.
Supervised Learning – Classification Algorithms
Focus on classification techniques: learn how to categorize data into discrete classes, explore popular methods (e.g. decision trees, SVMs, logistic regression etc.), and study how to evaluate classification models.
Unsupervised Learning Algorithms
Move into learning without labels. Explore clustering, dimensionality reduction, density estimation, and other approaches that allow discovering hidden structure in unlabelled data.
Time Series
Understand how to model data that’s indexed in time order. Learn about trends, seasonality, forecasting, and methods suited to time‑dependent datasets.
Projects
Put theory into action. Work through hands‑on projects that challenge you to apply what you’ve learned—collecting data, building models, evaluating results—to reinforce skills and build a portfolio.
Course Outcomes:
✅ Understand core ML concepts and their real-world impact
✅ Gain skills to build, train, and evaluate machine learning models
✅ Prepare for advanced machine learning or data science certifications
By the end, learners will be able to design, train, and evaluate basic machine learning models to derive insights and make data-driven decisions across diverse applications.
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