Data Science Projects

Practice building a K Nearest Neighbors classifier in Python to predict heart disease risk from patient data.

Practice using K-means clustering in Python to segment credit card customers and tailor business strategies.

Practice building an image classifier using Python, TensorFlow, and Keras to develop computer vision skills.

Practice web scraping, data cleaning, and merging datasets using Python to prepare EPL match data for machine learning.

Practice creating and optimizing a logistic regression model in Python to detect heart disease from real patient data.

Practice web scraping in Python to gather NBA player and team statistics for predicting season MVPs.

Practice the machine learning workflow using k-nearest neighbors in R to predict car prices.

Practice using Python, pandas, and scikit-learn to build an interactive movie search and recommendation system.

Practice using the Naive Bayes algorithm in Python to build a spam filter and classify SMS messages.

Practice using machine learning with Python to predict stock market prices and build a real-world portfolio project.

Practice using neural networks and deep learning in Python to build an image classifier that recognizes handwritten digits.