April highlights: LeetCode 30 Day Challenge, Big Data, Docker, Pluralsight, Secret Project, Social Media, Virtual ODSC, Lex Fridman’s AI Reading Group.
March highlights: Conway’s Game of Life in Python, Portfolio Update, MNIST, Deep Learning, Big Data, Squirrel GAN, NLP Preprocessing.
A deep dive into neural network hyperparameters: batch size, learning rate, activation functions, number of layers.
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.
Journal
