Practice Numpy
Lessons, exercises, and projects about Numpy
Browse our list of curated database of projects, exercises, and lessons to learn Numpy
5hrs average
Exercises and examples for linear algebra using Python and NumPy, covering topics such as vectors, matrices, and linear transformations.
Learn how Python powers data science with essential concepts and libraries. Discover practical examples to elevate your data skills today!
2hrs average
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.
Unlock the power of Linear Algebra! Learn about vectors, matrices, and their applications in data science and machine learning. Discover more now!
Master hypothesis testing in statistics! Learn how to define, test, and analyze hypotheses with practical examples. Discover the power of data today!
2hrs average
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.
2hrs average
Use the decision tree algorithm to diagnose diabetes using patients' medical information from previous exams. Preprocess the dataset, train the model, analyze the results, and optimize the model to make predictions about the presence of diabetes.
3hrs average
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.
2hrs average
Use your NumPy, Pandas and Matplotlib skills to practice a little about hypothesis testing with Annova and others
1hrs average
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.
Discover the world of random variables! Learn about discrete and continuous types, distribution functions, and their applications in statistics.
2hrs average
Use your NumPy, Pandas, and Matplotlib skills to practice a little about descriptive statistics
2hrs average
Learn to build your own end-to-end Machine Learning project: define a real-world problem, collect and process data, train and optimize a model, and deploy a web app to showcase it. Work collaboratively, apply your skills, and present your solution like a pro!
Discover how third-party libraries in Python, like Pandas and NumPy, can enhance your projects. Learn to install and use them effectively!
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
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.
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
Use your skills with numpy, pandas, and matplotlib to practice some probability concepts.
2hrs average
How much will your insurance cost based on a set of variables? Use this small dataset to model the relationship between several explanatory variables and a numerical target using a linear regression algorithm.