Lessons
The following lessons explain different programming concepts and have been published by our members. Search for a particular lesson using the filters
Exploring Random Forest
Master the power of **Random Forests** in Python! Learn to implement this robust machine learning model for classification and regression. Discover more now!
Recommender Systems
Learn what recommender systems are, their main types, and the algorithms that make them work. A clear and pedagogical guide for students starting in Machine Learning and Data Science.
Pandas Exercises And Solutions
Master the basics of data manipulation with our "Intro to Pandas" guide! Learn to harness the power of Python's Pandas library for effective data analysis. Discover more now!
Introduction to Python Programming: A Beginner's Guide?
Learn the basics of Python programming with our beginner's guide. Discover how to write Python code, data structures, loops and more.
Exploring K-Nearest Neighbors
Master KNN in Python with our step-by-step guide! Learn classification and regression techniques using scikit-learn. Start your data science journey today!
Feature Engineering
Calculus
Exploring Boosting Algorithm
Master the boosting algorithm in Python! Learn how to implement XGBoost for classification and regression with step-by-step guidance. Discover more now!
Introduction to AI and Its Importance in the Workplace
Explore how Artificial Intelligence, especially LLMs, is transforming the workplace. Learn about key AI models, real-world tools like HeyGen and Cursor, and how to stay relevant in a rapidly evolving job market.
Tips and tools to build a Data Science and Machine Learning project
When building a Data Science and Machine Learning project there are things to be considered, specially if you are looking for a job. Here you find tips to make a project make a cv stand out from the crowd, and a list of sites where you can find useful datasets to kickstart your project.
Deploy Models using Streamlit and Render.com
How to Deal With Outliers
Feature Encoding for Categorical Variables
Introduction to Python Pandas
Unlock the power of data with our "Intro to Pandas" guide! Learn to manipulate and analyze data using Python's essential library. Start mastering Pandas today!
Recurrent Neural Networks: Understanding Memory in Deep Learning Models
Learn how recurrent neural networks enable Deep Learning models to work with sequential data. Discover how they work, their applications in language, time series, and speech recognition, and why they are essential for understanding memory in artificial intelligence.
How to Train an AI model: Beginners Guide
🤖 Complete Guide to Training an AI in 5 Steps
Deploy model using Streamlit and Heroku
Learn how to deploy your Machine Learning model using Streamlit and Heroku. Discover the simplicity of creating interactive web apps today!
Deploy AI Models Using Flask and Render.com
Learn how to deploy your machine learning model using Flask and Render. Discover step-by-step instructions to make your model accessible online!