Pinned Repositories
applying-nearest-neighbors-data-science-intro-000
baseball_simulation
classifying_mlb_pitch_data
Used Gradient Boosted Trees classification model to classify 2018 Seattle Mariners pitches.
connor_kyle_practice
Practice Repo for Connor & Kyle. Build games, practice python etc...
dsc-3-final-project
Instructions forSEA DS 040119 Mod 3 final project
fifa_player_hypothesis_testing
Performing Hypothesis Testing on FIFA Player Attributes
hypothesis-testing-european-soccer-data
Hypothesis Testing on European Soccer Data.
mod2-final-project
pitch_prediction_model
Interactive Web Application - www.nextpitch.online. This is an interactive machine learning model that allows users to predict what pitch will come next in a baseball game.
predicting_king_county_houseprice
Linear Regression model predicting King County home prices.
ConnorAnderson29's Repositories
ConnorAnderson29/dsc-2-22-11-natural-language-processing-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-2-21-08-bayes-theorem-seattle-ds-career-040119
ConnorAnderson29/dsc-2-24-01-introduction-seattle-ds-career-040119
ConnorAnderson29/dsc-2-21-05-total-prob-law-seattle-ds-career-040119
ConnorAnderson29/dsc-2-22-03-MLE-Gaussian-seattle-ds-career-040119
ConnorAnderson29/dsc-2-22-06-naive-bayes-assumptions-seattle-ds-career-040119
ConnorAnderson29/dsc-2-21-11-PE-MLE-seattle-ds-career-040119
ConnorAnderson29/dsc-2-21-10-monty-hall-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-2-21-04-conditional-prob-lab-seattle-ds-career-040119
ConnorAnderson29/sampling
Markov Chain Monte Carlo or How I Learned to Stop Worrying and Love the Sampler
ConnorAnderson29/dsc-2-21-03-conditional-prob-seattle-ds-career-040119
ConnorAnderson29/dsc-2-22-01-introduction-seattle-ds-career-040119
ConnorAnderson29/nlp-intro_seattle-ds-career-040119
ConnorAnderson29/dsc-2-20-20-anova-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-2-20-19-anova-seattle-ds-career-040119
ConnorAnderson29/dsc-2-20-16-ab-testing-seattle-ds-career-040119
ConnorAnderson29/dsc-2-20-04-p-values-and-null-hypothesis-seattle-ds-career-040119
ConnorAnderson29/dsc-2-20-17-ab-testing-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-2-20-18-goodhearts-law-and-metric-tracking-seattle-ds-career-040119
ConnorAnderson29/dsc-2-19-12-central-limit-theorem-seattle-ds-career-040119
ConnorAnderson29/dsc-2-19-14-sampling-statistics-seattle-ds-career-040119
ConnorAnderson29/dsc-2-21-16-section-recap-seattle-ds-career-040119
ConnorAnderson29/dsc-2-20-01-introduction-seattle-ds-career-040119
ConnorAnderson29/dsc-2-19-13-central-limit-theorem-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-2-19-11-introduction-to-sampling-seattle-ds-career-040119
ConnorAnderson29/dsc-2-19-10-exponential-distribution-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-2-19-09-exponential-distribution-seattle-ds-career-040119
ConnorAnderson29/dsc-2-19-08-poisson-distribution-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-2-19-07-poisson-distribution-seattle-ds-career-040119
ConnorAnderson29/dsc-2-19-07-geometric-and-negative-binomial-distribution-lab-seattle-ds-career-040119