Practice Pandas

Recommendation Systems - Your Future with Data

Build a supervised classification model to predict whether a person will surpass a certain annual income threshold based on demographic data, and develop an interpretative recommendation system that suggests alternative paths to improve their situation.

Final data science prework project

This project involves cleaning and analyzing a real estate dataset using Pandas, focusing on practical data science skills. After completing this project, students will be capable of handling, processing, and visualizing real-world data efficiently.

What Are Third-Party Libraries Used for in Python?

Discover how third-party libraries in Python, like Pandas and NumPy, can enhance your projects. Learn to install and use them effectively!

Real Estate Data Cleanup

Prepare a real dataset to later train a machine learning model

Hypothesis Testing Exercises in Python

Use your NumPy, Pandas and Matplotlib skills to practice a little about hypothesis testing with Annova and others

Bernoulli Probability with Python

Unlock the world of chance with our "Introduction to Probability." Learn essential concepts and examples to master probabilities. Start your journey now!

Probability Exercises Project in Python

Test your skills with numpy, pandas, and matplotlib while exploring key probability concepts through data analysis and visualization of distributions.

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

Pandas tutorial exercises

Master Pandas, the most popular Python library for machine learning, with our pandas tutorial exercises. Learn to create DataFrames, clean datasets, and more, with exercises developed by experts.

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!

Calculus and Algebra problems with Python

Practice your calculus and algebra skills using Python with NumPy, Pandas, and Matplotlib. Work through real-life exercises like calculating speed, acceleration, and cost optimization. Build functions, graphs, and tables while learning key concepts in calculus and linear algebra, such as derivatives and matrix operations.

Plotting Binomial Distribution with Python

Learn how to plot distributions and calculate probabilities using bar graphs. Master essential data visualization skills to enhance your analytical prowess!

Probability Distributions Exercises Project in Python

Use your NumPy, Pandas, and Matplotlib skills to practice probability distributions. Complete the exercises in Python, follow the instructions to start, and submit your repository once finished. For additional help, refer to the provided solutions after attempting the problems.

SQL Project: Global Life Institute Data Detectives

In this project, you will learn how to structure a professional Python project focused on analyzing biodiversity and climate data using SQL queries and Python tools like SQLAlchemy and Pandas.

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.

Python for Data Science

Learn how Python powers data science with essential concepts and libraries. Discover practical examples to elevate your data skills today!

K-nearest neighbors Project Tutorial

Use KNN algorithm to build a simple movie recommender system.

Importing Static Files with Pandas

Learn how to upload and read various file types in Python, including CSV, Excel, JSON, and TXT. Master file handling today!

Intro to Matplotlib

Discover the power of Matplotlib! Learn to create stunning visualizations with Python's most popular library. Start your data journey today!