March highlights: Conway’s Game of Life in Python, Portfolio Update, MNIST, Deep Learning, Big Data, Squirrel GAN, NLP Preprocessing.
Initial analysis and visualization of the Kaggle Disaster Tweets dataset using NLTK and Seaborn.
February highlights: Starting #100DaysOfCode, Kaggle House Prices, Regularization, Deep Learning, Keras.
January highlights: Kaggle, Titanic, NLP, Flask, SQLAlchemy.
The power of using domain knowledge to boost machine learning performance.
In depth visualization of the Kaggle Titanic dataset using Matplotlib and Seaborn.