Data Science Projects
Build your skills through projects: Python, SQL, R, Power BI, Tableau, AI and much more.
Credit Card Customer Segmentation
Practice using K-means clustering in Python to segment credit card customers and tailor business strategies.
Predicting Heart Disease
Practice building a K Nearest Neighbors classifier in Python to predict heart disease risk from patient data.
Classifying Heart Disease
Practice creating and optimizing a logistic regression model in Python to detect heart disease from real patient data.
Building a Spam Filter with Naive Bayes
Practice using the Naive Bayes algorithm in Python to build a spam filter and classify SMS messages.
Predicting Developer Salaries
Practice cleaning real-world survey data, engineering features from multi-select fields, and building a linear regression model to predict developer salaries.
Optimizing Model Prediction
Practice optimizing linear regression models using cross-validation, regularization, and feature engineering in Python.
Predicting Employee Productivity Using Tree Models
Practice using decision trees and random forests in Python to predict garment worker productivity from real data.
Stochastic Gradient Descent on Linear Regression
Practice building a stochastic gradient descent linear regression model in Python to predict gym crowdedness.
Image Classification Using Deep Learning and Tensorflow
Practice building an image classifier using Python, TensorFlow, and Keras to develop computer vision skills.
Web Scraping Football Matches From The EPL in Python
Practice web scraping, data cleaning, and merging datasets using Python to prepare EPL match data for machine learning.
Web Scraping NBA Stats in Python
Practice web scraping in Python to gather NBA player and team statistics for predicting season MVPs.
Predicting Car Prices
Practice the machine learning workflow using k-nearest neighbors in R to predict car prices.