Learn How Machine Learning Works – in Just 7 Days

Build, test and use predictive models in R through 14 step-by-step video tutorials.

  • Structured learning
  • 2 video tutorials per day
  • 11 essential ML techniques
  • No prior experience required
Join the free course

What You'll Learn

Over the next 7 days, you'll learn how to apply machine learning techniques step by step — with no gaps and no unnecessary theory.

Train a model

Learn how to fit predictive models to your data.

Test on validation data

Evaluate model accuracy with proper testing methods.

Make predictions

Use your models to predict outcomes on new data.

The Techniques You'll Work With

11 core predictive modeling algorithms, each covered from A to Z.

01 Linear regression
02 Logistic regression
03 Discriminant analysis
04 Naïve Bayes estimation
05 K-nearest neighbors
06 Support vector machine
07 Decision trees
08 XGBoost
09 Neural networks
10 K-means clustering
11 Correspondence analysis
Workspace with laptop and coffee

How It Works

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Receive 2 video tutorials per day for 7 days
Watch at your own pace
Apply what you learn immediately

Join now and get the first tutorials within minutes.

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Bogdan Anastasiei, PhD

University Teacher

With years of experience teaching machine learning and data science at the university level, Bogdan created this course to make predictive modeling accessible to everyone — no jargon, no prerequisites, just clear step-by-step guidance.

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