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-04-41-05-keras-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-04-40-03-introduction-to-neural-networks-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-04-40-02-introduction-to-neural-networks-seattle-ds-career-040119
ConnorAnderson29/dsc-4-40-01-introduction-seattle-ds-career-040119
ConnorAnderson29/dsc-4-39-06-building-recommendation-system-als-pyspark-seattle-ds-career-040119
ConnorAnderson29/dsc-04-40-05-deeper-neural-networks-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-04-40-04-deeper-neural-networks-seattle-ds-career-040119
ConnorAnderson29/dsc-4-39-04-singular-value-decomposition-numpy-scipy-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-implementing-recommender-systems-seattle-ds-career-040119
ConnorAnderson29/dsc-4-39-03-collaborative-filtering-singular-value-decomposition-seattle-ds-career-040119
ConnorAnderson29/dsc-4-39-02-intro-to-recommendation-systems-seattle-ds-career-040119
ConnorAnderson29/dsc-4-39-01-introduction-seattle-ds-career-040119
ConnorAnderson29/dsc-4-38-08-rdd-transformations-and-actions-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-4-39-05-matrix-factorization-als-seattle-ds-career-040119
ConnorAnderson29/dsc-4-38-06-understanding-sparkcontext-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-4-38-09-rdd-transformations-and-actions-ii-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-4-38-05-installing-configuring-spark-with-docker-seattle-ds-career-040119
ConnorAnderson29/dsc-4-38-07-resilient-distributed-datasets-rdds-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-4-38-04-big-data-analytics-apache-spark-seattle-ds-career-040119
ConnorAnderson29/dsc-4-38-03-parallel-and-distributed-computing-with-mapreduce-seattle-ds-career-040119
ConnorAnderson29/dsc-4-38-02-intrduction-to-big-data-seattle-ds-career-040119
ConnorAnderson29/dsc-4-38-01-introduction-seattle-ds-career-040119
ConnorAnderson29/dsc-3-32-11-xgboost-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-3-32-10-xgboost-seattle-ds-career-040119
ConnorAnderson29/dsc-3-32-04-tree-ensembles-and-random-forests-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-3-32-03-random-forests-seattle-ds-career-040119
ConnorAnderson29/dsc-3-34-05-understanding-principle-component-analysis-seattle-ds-career-040119
ConnorAnderson29/dsc-3-35-04-k-means-clustering-lab-seattle-ds-career-040119
ConnorAnderson29/dsc-3-28-03-graphs-python-networkx-codealong-seattle-ds-career-040119
ConnorAnderson29/dsc-3-28-04-graph-data-io-codealong-seattle-ds-career-040119