Pinned Repositories
applying-gradient-descent-data-science-intro-000
applying-gradient-descent-lab-data-science-intro-000
applying-nearest-neighbors-data-science-intro-000
calculating-distance-data-science-intro-000
calculating-distance-lab-data-science-intro-000
covid_vaccine_tweets
Using NLP to perform sentiment analysis on tweets from 2020 regarding the Coronavirus vaccines.
Forest_Fire_Classification
Using binary classification techniques to find conditions where forest fires become large (greater than 100 acres burned)
king_county_washington_real_estate
Multiple linear regression modeling to predict housing prices in the greater Seattle real estate market.
LA_crime_forecasting
Time series modeling project to forecast LA reported crime rates based on 10 years worth of recent data.
movie_industry_project
First collaborative data science project. Recommendations to hypothetical investors wanting to join the film industry based on reviews and budgetary data from IMDb.
davidlebruce's Repositories
davidlebruce/movie_industry_project
First collaborative data science project. Recommendations to hypothetical investors wanting to join the film industry based on reviews and budgetary data from IMDb.
davidlebruce/applying-gradient-descent-data-science-intro-000
davidlebruce/covid_vaccine_tweets
Using NLP to perform sentiment analysis on tweets from 2020 regarding the Coronavirus vaccines.
davidlebruce/Forest_Fire_Classification
Using binary classification techniques to find conditions where forest fires become large (greater than 100 acres burned)
davidlebruce/king_county_washington_real_estate
Multiple linear regression modeling to predict housing prices in the greater Seattle real estate market.
davidlebruce/LA_crime_forecasting
Time series modeling project to forecast LA reported crime rates based on 10 years worth of recent data.
davidlebruce/calculus-derivation-gradient-descent-data-science-intro-000
davidlebruce/coronavirus_sentiment_analysis
davidlebruce/derivative-chain-rule-data-science-intro-000
davidlebruce/derivative-rules-data-science-intro-000
davidlebruce/dsc-variable-assignment-intro
davidlebruce/for-loops-readme-data-science-intro-000
davidlebruce/git_practice
davidlebruce/github-practice
davidlebruce/gradient-to-cost-function-data-science-intro-000
davidlebruce/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
davidlebruce/introduction-to-derivatives-data-science-intro-000
davidlebruce/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
davidlebruce/multivariable-calculus-gradient-descent-data-science-intro-000
davidlebruce/multivariable-functions-data-science-intro-000
davidlebruce/nonlinear-derivatives-readme-data-science-intro-000
davidlebruce/nyc-091420-week2
davidlebruce/nyc-mhtn-ds-091420-lectures
davidlebruce/nyc_lectures
davidlebruce/practical-statistics-for-data-scientists
Code repository for O'Reilly book
davidlebruce/python-variables-readme-data-science-intro-000
davidlebruce/python_practice
Upskilling with python
davidlebruce/warmup-pandas-1
davidlebruce/website
davidlebruce/with-love-charity