Practice Numpy

Lessons, exercises, and projects about Numpy

Browse our list of curated database of projects, exercises, and lessons to learn Numpy

5hrs average

Linear Algebra in Python and NumPy

Exercises and examples for linear algebra using Python and NumPy, covering topics such as vectors, matrices, and linear transformations.

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.

Linear Algebra

Unlock the power of Linear Algebra! Learn about vectors, matrices, and their applications in data science and machine learning. Discover more now!

Random Variables

Discover the world of random variables! Learn about discrete and continuous types, distribution functions, and their applications in statistics.

2hrs average

Descriptive Statistics Exercises Project with Python

Use your NumPy, Pandas, and Matplotlib skills to practice a little about descriptive statistics

3hrs average

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.

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

Calculus Derivatives with python

Master the basics of derivatives in our “Introduction to Derivatives” article! Learn how to calculate and visualize derivatives with Python - find out now!

2hrs average

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.

10hrs average

Numpy Tutorial Exercises

This interactive tutorial will help you become familiar on it, master the most used functionalities and help you clean up your first datasets

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!

Introduction to Numpy

Unlock the power of data with our "Intro to NumPy" guide! Learn about multidimensional arrays, vectorized operations, and essential functions. Start mastering NumPy 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.

Hypothesis Testing

Master hypothesis testing in statistics! Learn how to define, test, and analyze hypotheses with practical examples. Discover the power of data today!

2hrs average

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.