Skip to content

Latest commit

 

History

History
15 lines (13 loc) · 1.2 KB

File metadata and controls

15 lines (13 loc) · 1.2 KB

Data Science and AI

This is my repository for the course Introduction to Data Science and AI at at Chalmers University of Technology.

Projects:

Assignment 1: Exploratory Data Anlysis

Conducting an exploratory analysis on how life expectancy relates to GDP-per-capita (link).

Assignment 2: Regression and Classification

Basic exploration of linear regression and classification (kNN) (link).

Assignment 3: Clustering

Exploring K-means clustering and DBSCAN (link).

Assignment 4: Classifying e-mails.

In this project we built different naive Bayes classifiers for the task of classifying e-mails as either spam or "ham" (i.e not spam) (link).

Assignment 5: Building CNN's

In this project we explored building and training convolutional neural networks using TensorFlow and the MNIST digits dataset link.