Machine learning is a branch of artificial intelligence whereby machines learn from data. This is a controlled storage area for my machine learning and data science projects.

• AI/Game AI - game AI algorithms including recursive algorithms like the minimax algorithm
• AI/Neural Networks - MLP's, LSTM RNN's, TensorFlow, Keras and NN's coded from sratch
• Building Machine Learning Systems - course material from Richert and Coelho's book
• Kaggle - code for some Kaggle competitions I have taken part in

• Kaggle - "The Home of Data Science & Machine Learning"
• Awesome blog
• C Olah Blog - inspired blog posts
• Open Data Science (ODS) Blog
• opencv-python-tutorials
• machinelearningmastery
• choosing the right estimator (scikit-learn)

t-SNE Dimensionality Reduction:

Computer vision (template matching OpenCV) where's Wally:

LSTM sequence shifting:

VGG16 ConvNet for breed identification:

Algorithm selection:

Genetic algorithm:

Neural Network from scratch: