TheFebrin/DataScience

Machine Learning + Deep Learning + Data Mining + Evolutionary Algorithms + my own projects

Data Science

About

Stuff from courses at University of Wroclaw:

• Machine Learning
• Data Mining
• Deep Learning and Neural Networks
• Evolutionary Algorithms

And my own projects.

Notebooks issue

Sometimes jupyter notebooks doesn't render. Use this in case https://nbviewer.jupyter.org.

Table of Contents

Tensorflow Workshops

Supervised Learning Algorithms

• K Nearest Neighbours (KNN)

  • KNN on Iris Flower Dataset
  • KNN on digits

• Decision Trees

  • Decision Trees
  • Random Forest

• Regression

  • Basic polynomial regression
  • Ridge regression
  • Logistic regression
  • Quantile regression

• Language recognition

  • Naive Bayes Classifier

• SVM

  • SVM on iris

Unsupervised Learning Algorithms

• K Means
  • K Means on Iris Flower Dataset and Gaussian Mixtures
  • Image color compression
  • Breaking down multispectral image

Evolutionary Algorithms

• Simulated annealing on QAP
• PBIL on multispectral images
• Simple genetic algorithm (SGA) on TSP Berlin52
• Evolution Strategy (ES)
• Inverse kinematics using ES

Deep Learning

TODO

Other

• Kalman filter
• Association Rules APRIORI algorithm
• PCA on faces/digits/mixtures

Projects

• Sentiment analysis
• Stock market predictions using limit order books