Projects
Practice and develop your coding skills by building real live interactive autograded projects with solutions and video tutorials
2hrs average
Algorithm Optimization Project for Machine Learning
Learn how to optimize and build better Python algorithms for Machine Learning. Follow a step-by-step guide, improve code performance and master key techniques. Complete exercises, compare solutions and improve your skills.
Beginner
2hrs average
Descriptive Statistics Exercises Project with Python
Use your NumPy, Pandas, and Matplotlib skills to practice a little about descriptive statistics
Beginner
4hrs average
Use JS to validate an HTML Form
Use Javascript to validate the inputs of an HTML form (on submit)
Beginner
8hrs average
Build a StarWars REST API
The StarWars Blog API will let you practice building a REST API using lightweight API frameworks like Express (for node) or Flask (for python) using SQLAlchemy ORM and Python language. while building a fun blog. Ideal for juniors looking to practice API development in python.
Easy
2hrs average
Random Forest Project Tutorial
Use Random Forest algorithm to predict a marketing campaign success by predicting the campaign impressions
Beginner
1hrs average
ML web app using Streamlit tutorial
Use Streamlit to build an interactive web application that integrates a machine learning model. This will allow users to input data, make predictions, and visualize results in a user-friendly interface.
Beginner
1hrs average
Optimize your Github Profile
Build a customized github profile that stands out and showcases how you are, your projects and skills. Overall having a fun and friendly profile for recruiters and other developers to visit.
Beginner
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.
Beginner
2hrs average
Boosting Algorithms Project Tutorial
Learn to implement boosting algorithms to enhance model performance. Using a diabetes dataset, train, tune, and evaluate boosting models. Compare results with decision trees and random forests to choose the most accurate predictor. A hands-on guide to mastering model optimization.
Beginner
3hrs average
Create a HTML5 form
Build a complete HTML5 form using various input types, including text, email, date, number, and more. Ensure proper validation and formatting while optionally using Bootstrap for styling and layout.
Beginner
2hrs average
Mapping your future career in tech
Map your career to properly plan your job-search and find jobs that align with your skills and expectations
Beginner
2hrs average
Time Series Project Tutorial
This project focuses on using time series analysis techniques for water detection.
Beginner
2hrs average
Linear Regression Project Tutorial
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.
Beginner
2hrs average
image-classifier-project-tutorial
Build an image classifier using deep learning! This project involves exploring a dataset, modeling with a neural network, and optimizing results. Train a convolutional neural network (CNN) to classify dog and cat images, refine performance with techniques like data augmentation, and evaluate the model.
Beginner
2hrs average
Create a form in Node.js
Create a form using the EJS (Embedded JavaScript templates) and Express.js to render the HTML/CSS, validate using Node
Beginner
2hrs average
Web Scraping with Python
Use python and the beautiful soup library to download, scrape, clean and visualize the revenue information
Beginner
1hrs average
Coding Guidelines Challenge
Refactor your code to following industry best practices when coding
Beginner
2hrs average
Build a linear regression model using pandas and python
Learn how to build a linear regression model from scratch: understand a new dataset, perform exploratory data analysis (EDA), model the data, and optimize your model. Discover how the $R^2$ evolves by adjusting the Lasso model's hyperparameter up to a value of 20.
Beginner
2hrs average
Sales forecasting using arima time series modeling
Use ARIMA model o create a cpu usage anomaly detection model.
Beginner
2hrs average
Decision Tree Project Tutorial
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.
Beginner