This repository contains projects from CSC 591 - Algorithms for Data Guided Business Intelligence.
The projects cover applied concepts from Machine Learning and Deep Learning such as:
- Basic Data Wrangling with Python
- Logistic Regression
- Sentiment Analysis using word2vec
- Adwords - Bipartite Graph Matching
- Defect Segmentation on Textured Surface with DNN
- Graph Embedding for Recommender Systems
- Recommender System with ALS
All of this projects are done using Python.