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-4-38-01-introduction-nyc-ds-career-012819
danjizquierdo/dsc-4-38-09-rdd-transformations-and-actions-ii-nyc-ds-career-012819
danjizquierdo/dsc-4-38-08-rdd-transformations-and-actions-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-31-05-ID3-trees-perfect-split-info-gain-lab-nyc-ds-career-012819
danjizquierdo/dsc-2-26-11-section-recap-nyc-ds-career-012819
danjizquierdo/dsc-2-26-01-introduction-nyc-ds-career-012819
danjizquierdo/dsc-2-25-10-section-recap-nyc-ds-career-012819
danjizquierdo/dsc-2-25-01-introduction-nyc-ds-career-012819
danjizquierdo/dsc-3-34-03-curse-of-dimensionality-simulation-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-34-09-principle-component-analysis-in-scikitlearn-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-34-08-principle-component-analysis-in-scikitlearn-nyc-ds-career-012819
danjizquierdo/dsc-3-34-07-pca-implementation-visualization-python-numpy-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-35-04-k-means-clustering-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-35-11-section-recap-nyc-ds-career-012819
danjizquierdo/dsc-3-35-10-semi-supervised-learning-and-look-alike-models-nyc-ds-career-012819
danjizquierdo/dsc-3-35-09-market-segmentation-with-clustering-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-35-08-market-segmentation-with-clustering-nyc-ds-career-012819
danjizquierdo/dsc-3-35-07-hierarchical-agglomerative-clustering-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-35-05-hierarchical-agglomerative-clustering-nyc-ds-career-012819
danjizquierdo/dsc-3-35-06-common-problems-with-clustering-nyc-ds-career-012819
danjizquierdo/dsc-3-35-03-k-means-clustering-nyc-ds-career-012819
danjizquierdo/dsc-3-35-01-introduction-nyc-ds-career-012819
danjizquierdo/dsc-4-37-10-text-classification-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-29-08-roc-curves-and-auc-nyc-ds-career-012819
danjizquierdo/dsc-3-32-06-gridsearchcv-lab-nyc-ds-career-012819
danjizquierdo/dsc-2-22-10-natural-language-processing-nyc-ds-career-012819
danjizquierdo/dsc-4-37-05-feature-engineering-for-text-data-nyc-ds-career-012819
danjizquierdo/dsc-2-22-14-document-classification-using-naive-bayes-lab-nyc-ds-career-012819
danjizquierdo/dsc-4-37-06-corpus-statistics-lab-nyc-ds-career-012819
danjizquierdo/dsc-3-32-11-xgboost-lab-nyc-ds-career-012819