Journal
Monthly ML: Data Science & Machine Learning Wrap-Up — February 2020
February highlights: Starting #100DaysOfCode, Kaggle House Prices, Regularization, Deep Learning, Keras.
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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.
Investigating the link between city and demographic characteristics using the Foursquare API, Behavioral Risk Factor Surveillance System data and other web scraping techniques.
The top 6 things to remember when searching on Google.