Intermediate 3 books · 24 modules

AI and Machine Learning with Python

NumPy, Pandas, Matplotlib, scikit-learn and your first predictive models — all running in the browser.

The book is written in Spanish. We have translated this page so you can see what the course covers.

A hands-on course in three books: the fundamentals of Python’s scientific ecosystem, classic ML algorithms and deep learning. All the code runs in the browser — nothing to install.

What’s included

Python code you can run directly in the browser
NumPy, Pandas, Matplotlib and scikit-learn built in
Matplotlib charts rendered in real time
24 modules with quizzes and hands-on exercises
Progress tracking without sign-up
Instant access · no account needed

Full syllabus

Book I — Fundamentals

8 modules

What is AI?
20 min
NumPy — vectors and matrices
30 min
Pandas — data in tables
35 min
Matplotlib — seeing to understand
30 min
Linear regression
40 min
Classification — KNN
35 min
Decision trees and Random Forest
40 min
Model evaluation
35 min

Book II — Intermediate

8 modules

Data preprocessing
40 min
Regularised regression
35 min
Support vector machines
40 min
Clustering without labels
35 min
PCA and dimensionality reduction
35 min
Feature selection
30 min
Pipelines and automation
40 min
Project: recommendation system
60 min

Book III — Deep Learning

8 modules

Artificial neural networks
45 min
Backpropagation and gradients
45 min
Convolutional networks (CNN)
50 min
Recurrent networks (RNN)
50 min
Transformers and attention
55 min
Fine-tuning language models
60 min
Agents and tools
55 min
Final project — a context-aware assistant
90 min

Leoncio Felipe Mitogo

Software engineer with more than 8 years of experience building applications and data systems. Founder of BKLN Software & Systems in Malabo.

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