Projects

• Python

• Machine Learning

• Data Science

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.

• Python

• Machine Learning

• Data Science

Descriptive Statistics Exercises Project with Python

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

• HTML and CSS

• Bootstrap

Use JS to validate an HTML Form

Use Javascript to validate the inputs of an HTML form (on submit)

• Flask

• Node

• Python

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.

• Data Science

• Machine Learning

Random Forest Project Tutorial

Use Random Forest algorithm to predict a marketing campaign success by predicting the campaign impressions

• Data Science

• Machine Learning

• Python

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.

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.

• Python

• Machine Learning

• Data Science

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.

• Data Science

• Machine Learning

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.

• HTML and CSS

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.

• Networking

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

• Data Science

• Machine Learning

Time Series Project Tutorial

This project focuses on using time series analysis techniques for water detection.

• Data Science

• Machine Learning

• Python

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.

• Data Science

• Machine Learning

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.

• Express

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

• Data Science

• Python

• Machine Learning

Web Scraping with Python

Use python and the beautiful soup library to download, scrape, clean and visualize the revenue information

Coding Guidelines Challenge

Refactor your code to following industry best practices when coding

• Data Science

• Machine Learning

• Python

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.

• Machine Learning

Sales forecasting using arima time series modeling

Use ARIMA model o create a cpu usage anomaly detection model.

• Python

• Data Science

• Machine Learning

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.