paul-lindquist

bird-visualization_warmup

cryptocurrency_time_series

Built 6 time series models to forecast Bitcoin prices using data from the past 5 years

ds-bash-pdu32

ds-data_analysis_csv-pdu32

ds-data_analysis_json-pdu32

king-county-home-sales

Used linear regression to build inferential and predictive machine learning models on the King County, WA housing dataset

machine-learning-vs-march-madness

Built 6 machine learning, classification models using 8 years' worth of data to make single-game predictions for NCAA basketball postseason tournaments

microsoft-studio-movie-analysis

Used descriptive and exploratory data analysis to pitch recommendations to stakeholders of a fictional, newly-formed Microsoft movie studio

spotify-recommendation-system

Built a content-based recommendation/recommender system specific to electronic music on Spotify using K-Nearest Neighbors (KNN), cosine similarity and sigmoid function kernel to generate similarity and distance-based recommendations. Video of the project presentation: https://lnkd.in/gq5w-4Wm

tableau-demo

Simple Tableau dashboard demo published to Tableau Public

paul-lindquist/cryptocurrency_time_series

Built 6 time series models to forecast Bitcoin prices using data from the past 5 years

paul-lindquist/king-county-home-sales

Used linear regression to build inferential and predictive machine learning models on the King County, WA housing dataset

paul-lindquist/bird-visualization_warmup

paul-lindquist/ds-bash-pdu32

paul-lindquist/ds-data_analysis_csv-pdu32

paul-lindquist/ds-data_analysis_json-pdu32

paul-lindquist/machine-learning-vs-march-madness

Built 6 machine learning, classification models using 8 years' worth of data to make single-game predictions for NCAA basketball postseason tournaments

paul-lindquist/microsoft-studio-movie-analysis

Used descriptive and exploratory data analysis to pitch recommendations to stakeholders of a fictional, newly-formed Microsoft movie studio

paul-lindquist/spotify-recommendation-system

Built a content-based recommendation/recommender system specific to electronic music on Spotify using K-Nearest Neighbors (KNN), cosine similarity and sigmoid function kernel to generate similarity and distance-based recommendations. Video of the project presentation: https://lnkd.in/gq5w-4Wm

paul-lindquist/tableau-demo

Simple Tableau dashboard demo published to Tableau Public

paul-lindquist/ds-data_visualization-pdu32

paul-lindquist/ds-python_data_manipulation-pdu32

paul-lindquist/dsc-apis-lab

paul-lindquist/dsc-data-serialization-lab

paul-lindquist/dsc-dimensionality-reduction-lab

paul-lindquist/dsc-hypothesis-testing-lab

paul-lindquist/dsc-linear-regression-lab

paul-lindquist/dsc-logistic-regression-lab

paul-lindquist/dsc-ml-fundamentals-lab

paul-lindquist/dsc-nlp-lab

paul-lindquist/dsc-nonparametric-models-lab

paul-lindquist/dsc-pandas-data-cleaning-lab

paul-lindquist/dsc-pandas-eda-lab

paul-lindquist/dsc-running-jupyter-locally-lab

paul-lindquist/dsc-sklearn-preprocessing-lab

paul-lindquist/dsc-sql-lab

paul-lindquist/dsle-101121-phase3-code-challenge-review

paul-lindquist/functions-to-keep-around

A rolling collection of random Python functions that I want to keep around 😃

paul-lindquist/git_practice

paul-lindquist/paul-lindquist