Pinned Repositories
1stPrimaryDebateNight2020
Analysis of the Twitter conversation around the 2020 Democratic presidential primary candidates from the first debate
3-speculative-markhov
Markhov chain twitter bot who likes to pitch speculative fiction
Billboard-Top-100-EDA
Exploratory data analysis of the recent Billboard Top 100 Artists using Spotify
BoardGameRecommender
TCF Science Fair: From a set of board games and/or mechanics create a recommendation of other board games
Data_Engineering_Nanodegree
Coursework for Udacity's Data Engineering Nanodegree
graph-of-thrones
Graph Network lecture developed for Flatiron School's Data Science program
language-in-politics
Analysis of US Congress 115 (2017-2018) using data on proposed Bills and tweets of Representatives.
Primary-Candidate-Analysis
Create, curate and analyze a collection of tweets related to the Democratic primary candidates for the 2020 US Presidential election.
Sentimental
Sentiment and statistical analysis of twitter data
Troll_Tweets
danjizquierdo's Repositories
danjizquierdo/dsc-04-40-05-deeper-neural-networks-lab-nyc-ds-career-012819
danjizquierdo/dsc-04-41-02-deep-networks-nyc-ds-career-012819
danjizquierdo/dsc-4-41-01-Introduction-nyc-ds-career-012819
danjizquierdo/dsc-04-40-03-introduction-to-neural-networks-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-26-06-arma-models-nyc-ds-career-012819
danjizquierdo/dsc-3-26-04-correlation-and-autocorrelation-in-time-series-nyc-ds-career-012819
danjizquierdo/dsc-3-25-09-time-series-decomposition-nyc-ds-career-012819
danjizquierdo/dsc-3-25-07-removing-trends-nyc-ds-career-012819
danjizquierdo/dsc-3-25-08-removing-trends-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-26-07-arma-models-lab-nyc-ds-career-012819
danjizquierdo/dsc-4-39-04-singular-value-decomposition-numpy-scipy-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-25-06-testing-for-trends-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-26-08-sarima-models-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-25-05-types-of-trends-nyc-ds-career-012819
danjizquierdo/dsc-3-26-02-basic-time-series-models-nyc-ds-career-012819
danjizquierdo/dsc-3-26-05-correlation-and-autocorrelation-in-time-series-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-26-03-basic-time-series-models-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-25-04-visualizing-time-series-data-lab-nyc-ds-career-012819
danjizquierdo/dsc-04-40-04-deeper-neural-networks-nyc-ds-career-012819
danjizquierdo/dsc-3-31-07-decision-tree-scikitlearn-lab-nyc-ds-career-012819
danjizquierdo/dsc-4-39-03-collaborative-filtering-singular-value-decomposition-nyc-ds-career-012819
danjizquierdo/dsc-4-39-05-matrix-factorization-als-nyc-ds-career-012819
danjizquierdo/dsc-4-39-02-intro-to-recommendation-systems-nyc-ds-career-012819
danjizquierdo/dsc-4-39-01-introduction-nyc-ds-career-012819
danjizquierdo/dsc-4-38-07-resilient-distributed-datasets-rdds-nyc-ds-career-012819
danjizquierdo/dsc-4-39-06-building-recommendation-system-als-pyspark-nyc-ds-career-012819
danjizquierdo/dsc-4-38-02-intrduction-to-big-data-nyc-ds-career-012819
danjizquierdo/dsc-4-38-05-installing-configuring-spark-with-docker-nyc-ds-career-012819
danjizquierdo/dsc-4-38-04-big-data-analytics-apache-spark-nyc-ds-career-012819
danjizquierdo/dsc-4-38-03-parallel-and-distributed-computing-with-mapreduce-nyc-ds-career-012819