Machine learning

Learn Machine Learning with Python

This hub is the machine learning path on StudyGrid. Start with mean and scatter plots, then fit a line, hold out a test set, and try trees, logistic regression, and k-means. Every lesson is a single idea.

Start ML getting startedPython data science pathPython tutorial hub

23 lessons. Getting Started is the first chapter; this page is the course hub.

Course overview

Start at the first lesson, or jump to a topic.

Start

Libraries and the first workflow

Setup · sklearn

Statistics

Describe a column before you model it

Mean · Std · Percentile

Regression

Predict a number

Linear · Polynomial · Scale

Classification

Predict a label

Logistic · Trees · KNN

Clustering

Find groups without labels

K-means · Hierarchical

Evaluation

Check the model honestly

Train/Test · CV · AUC

What you get in this course

Lesson sequence

Every lesson, in order.

  1. 01Getting Started
  2. 02Mean, Median, Mode
  3. 03Standard Deviation
  4. 04Percentile
  5. 05Data Distribution
  6. 06Normal Distribution
  7. 07Scatter Plot
  8. 08Linear Regression
  9. 09Polynomial Regression
  10. 10Multiple Regression
  11. 11Scale
  12. 12Train/Test
  13. 13Decision Tree
  14. 14Confusion Matrix
  15. 15Hierarchical Clustering
  16. 16Logistic Regression
  17. 17Grid Search
  18. 18Categorical Data
  19. 19K-means
  20. 20Bootstrap Aggregation
  21. 21Cross Validation
  22. 22AUC - ROC Curve
  23. 23K-nearest neighbors

FAQ: Learn Machine Learning with Python

Common questions about this page.

What is the StudyGrid machine learning tutorial?

The hub at /machine-learning is the course map for Python ML: statistics, regression, classification, clustering, and evaluation. Start at Getting Started, then follow the lesson list.

Should I run machine learning tutorial examples locally for better learning?

Yes. Use the browser editor on StudyGrid for a quick check, then Download the example and run it on your computer. Local runs show real errors and the real toolchain, which is one of the fastest ways to learn machine learning tutorial in this Machine Learning Python lesson (Learn Machine Learning with Python).

Do I need a math degree to start?

No. The first lessons are mean, spread, and scatter plots. Models come after you can describe a column of numbers.

How is this different from the data science hub?

Data science covers NumPy, Pandas, and charts. Machine learning is the modelling path after that. Open /data-science if you still need arrays and tables.

Where should I start the ML course?

Open Getting Started, then Mean Median Mode. Use Next at the bottom of each chapter, or jump from this hub.

Is the machine learning tutorial free?

Yes. The full path on StudyGrid (studygrid.in) is free.