Practice Pandas
Lessons, exercises, and projects about Pandas
Browse our list of curated database of projects, exercises, and lessons to learn Pandas
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!
3hrs average
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!
2hrs average
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.
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!
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!
2hrs average
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!
2hrs average
K-nearest neighbors Project Tutorial
Discover how artificial intelligence can classify red wine quality using chemical properties! This beginner-friendly machine learning project uses the K-Nearest Neighbors (KNN) algorithm to predict whether a wine is of low, medium, or high quality. Perfect for data science enthusiasts, this project combines real-world data, Python, and scikit-learn to build and optimize a predictive model.
1hrs average
ML web app using Flask tutorial
Learn how to train and optimize a machine learning model, build a Flask web app to interact with it, and deploy the full application on Render. This hands-on project walks you through data exploration, model creation, app development, and cloud deployment step by step.
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!
5hrs average
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.
3hrs average
Data clean up pandas for beginners
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!
3hrs average
Real Estate Data Cleanup
Prepare a real dataset to later train a machine learning model
2hrs average
Hypothesis Testing Exercises in Python
Use your NumPy, Pandas and Matplotlib skills to practice a little about hypothesis testing with Annova and others
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!