Files

• meta.moreno_crime_crime (moreno_crime_crime)
• classification (classification)
• .gitignore (gitignore)
• README.md (md)
• fannie_2017_acq_data (fannie_2017_acq_data)
• eda_and_visualization.md (md)
• eda_and_visualization_files (eda_and_visualization_files)
• data (data)
• knn (knn)
• RScripts (RScripts)
• winequality-white.csv (csv)
• winequality-red.csv (csv)
• kNNforGM.R (R)
• Rmd (Rmd)
• kNNTutorial2.md (md)
• kNNTutorial2.Rmd (Rmd)
• kNNTutorial1.Rmd (Rmd)
• materialsKNNForGM (materialsKNNForGM)
• kNNTutorial1.md (md)
• logit (logit)
• logistic_regression_files (logistic_regression_files)
• figure-markdown_github (figure-markdown_github)
• tree-methods (tree-methods)
• kNNTutorial3.Rmd (Rmd)
• kNNTutorial3.md (md)
• kNNFunctions.R (R)
• logistic_regression.md (md)
• tree_methods_files (tree_methods_files)
• figure-markdown_github (figure-markdown_github)
• tree_methods.Rmd (Rmd)
• tree_methods.md (md)
• logistic_regression.Rmd (Rmd)
• conferences (conferences)
• py_data_dc_2018 (py_data_dc_2018)
• .ipynb_checkpoints (ipynb_checkpoints)
• building_recommender_system (building_recommender_system)
• pydata_conference_notes-checkpoint.ipynb (ipynb)
• data (data)
• docs (docs)
• movies.csv (csv)
• conf.py (py)
• doctrees (doctrees)
• nbsphinx (nbsphinx)
• html (html)
• _images (_images)
• _sources (_sources)
• _static (_static)
• css (css)
• basic.css (css)
• fontawesome-webfont.svg (svg)
• fonts (fonts)
• Lato (Lato)
• RobotoSlab (RobotoSlab)
• theme.js (js)
• tutorial.ipynb.txt (txt)
• js (js)
• theme.css (css)
• jquery-3.2.1.js (js)
• doctools.js (js)
• searchtools.js (js)
• websupport.js (js)
• underscore-1.3.1.js (js)
• searchindex.js (js)
• index.html (html)
• tutorial.html (html)
• imgs (imgs)
• elections_forecast_538 (elections_forecast_538)
• data (data)
• tidy_data (tidy_data)
• pydata_conference_notes.ipynb (ipynb)
• country_timeseries.csv (csv)
• data (data)
• concat_3.csv (csv)
• billboard_songs.csv (csv)
• survey_person.csv (csv)
• live_code_walkthrough.ipynb (ipynb)
• notebooks (notebooks)
• notes (notes)
• webscraping_beautiful_soup (webscraping_beautiful_soup)
• rstudio_install.md (md)
• pycon_2019 (pycon_2019)
• Network-Analysis-Made-Simple-master (Network-Analysis-Made-Simple-master)
• .github (github)
• 5-graph-input-output-instructor.ipynb (ipynb)
• 6-bipartite-graphs-student.ipynb (ipynb)
• 5-graph-input-output-student.ipynb (ipynb)
• bonus-1-network-statistical-inference-student.ipynb (ipynb)
• bonus-1-network-statistical-inference-instructor.ipynb (ipynb)
• custom (custom)
• bonus-2-one-more-thing.ipynb (ipynb)
• bonus-3-matrices-student.ipynb (ipynb)
• bonus-3-matrices-instructor.ipynb (ipynb)
• README.md (md)
• datasets (datasets)
• amazon_reviews (amazon_reviews)
• ego-facebook (ego-facebook)
• moreno_crime (moreno_crime)
• meta.ego-facebook (ego-facebook)
• out.moreno_crime_crime (moreno_crime_crime)
• ent.moreno_crime_crime.person.name (name)
• moreno_innovation (moreno_innovation)
• moreno_oz (moreno_oz)
• .ipynb_checkpoints (ipynb_checkpoints)
• out.moreno_innovation_innovation (moreno_innovation_innovation)
• meta.moreno_innovation_innovation (moreno_innovation_innovation)
• out-checkpoint.moreno_oz_oz (moreno_oz_oz)
• moreno_propro (moreno_propro)
• README.moreno_propro.txt (txt)
• moreno_seventh (moreno_seventh)
• out.moreno_propro_propro.txt (txt)
• munmun_twitter_social (munmun_twitter_social)
• meta.moreno_seventh_seventh (moreno_seventh_seventh)
• sociopatterns-infectious (sociopatterns-infectious)
• out.sociopatterns-infectious (sociopatterns-infectious)
• docs (docs)
• 5-graph-input-output-instructor.html (html)
• 1-introduction.html (html)
• 0-pre-tutorial-exercises.html (html)
• bonus-3-matrices-instructor.html (html)
• environment.yml (yml)
• images (images)
• images (images)
• nbconvert_config.py (py)
• solutions (solutions)
• 02-max_num_times_fav.py (py)
• 02-add_edges.py (py)
• 03-dc_nbrs_scatter.py (py)
• 02-num-boys-girls.py (py)
• 03-sorted_neighbors.py (py)
• tutorial-proposals (tutorial-proposals)
• bayesian-stats-modelling-tutorial-master (bayesian-stats-modelling-tutorial-master)
• .gitattributes (gitattributes)
• data (data)
• baseballdb (baseballdb)
• core (core)
• HallOfFame.csv (csv)
• AwardsManagers.csv (csv)
• AwardsSharePlayers.csv (csv)
• Managers.csv (csv)
• Schools.csv (csv)
• FieldingPost.csv (csv)
• BattingPost.csv (csv)
• Parks.csv (csv)
• Salaries.csv (csv)
• readme2014.txt (txt)
• docs (docs)
• sterilization.csv (csv)
• pandoc.css (css)
• bacteria_model.pdf (pdf)
• images (images)
• radioactive-decay-model.pdf (pdf)
• darwins-finches-model.pdf (pdf)
• coin_model.pdf (pdf)
• baseball-hierarchical-model.pdf (pdf)
• darwins-finches-hierarchical-model.pdf (pdf)
• baseball-model.pdf (pdf)
• notebooks (notebooks)
• 01-Instructor-Probability_a_simulated_introduction.ipynb (ipynb)
• 03-instructor-two-group-iq.ipynb (ipynb)
• 05-student-two-group-comparison-finches.ipynb (ipynb)
• 06-student-hierarchical-baseball.ipynb (ipynb)
• 04-instructor-multi-group-comparsion-sterilization.ipynb (ipynb)
• 05-instructor-two-group-comparison-finches.ipynb (ipynb)
• matplotlibrc (matplotlibrc)
• scripts (scripts)
• hello-world-machine-learning (hello-world-machine-learning)
• .ipynb_checkpoints (ipynb_checkpoints)
• 08-bayesian-curve-regression.ipynb (ipynb)
• Chapter - 0 (Chapter - 0)
• Chapter - 1 (Chapter - 1)
• Chapter - 10 (Chapter - 10)
• .ipynb_checkpoints (ipynb_checkpoints)
• [11] Exercise - Mapping Application-checkpoint.ipynb (ipynb)
• Chapter - 11 (Chapter - 11)
• .ipynb_checkpoints (ipynb_checkpoints)
• [10] - K Means Clustering with Real World Dataset and Pandas.ipynb (ipynb)
• Chapter - 2 (Chapter - 2)
• .ipynb_checkpoints (ipynb_checkpoints)
• train.csv (csv)
• [11] Exercise - Mapping Application.ipynb (ipynb)
• Chapter - 3 (Chapter - 3)
• Chapter - 4 (Chapter - 4)
• .ipynb_checkpoints (ipynb_checkpoints)
• [4.1] - Introduction to NumPy-checkpoint.ipynb (ipynb)
• [5] - The Hello World Dataset-checkpoint.ipynb (ipynb)
• [4.1] - Introduction to NumPy.ipynb (ipynb)
• Chapter - 5 (Chapter - 5)
• .ipynb_checkpoints (ipynb_checkpoints)
• Chapter - 6 (Chapter - 6)
• [4.2] - Intro to Matplotlib.ipynb (ipynb)
• .ipynb_checkpoints (ipynb_checkpoints)
• Chapter - 7 (Chapter - 7)
• .ipynb_checkpoints (ipynb_checkpoints)
• [8] - K Means Clustering.ipynb (ipynb)
• [8] - K Means Clustering-checkpoint.ipynb (ipynb)
• Chapter - 8 (Chapter - 8)
• .ipynb_checkpoints (ipynb_checkpoints)
• [7] - K Nearest Neighbour.ipynb (ipynb)
• [7] - K Nearest Neighbour-checkpoint.ipynb (ipynb)
• Chapter - 9 (Chapter - 9)
• .ipynb_checkpoints (ipynb_checkpoints)
• demo.csv (csv)
• [9] - Managing Real World M.L. Data using Pandas.ipynb (ipynb)
• [9] - Managing Real World M.L. Data using Pandas-checkpoint.ipynb (ipynb)
• .gitignore (gitignore)
• model-interpretability-tutorial-master (model-interpretability-tutorial-master)
• 01-interpretability_eli5-solution.ipynb (ipynb)
• 01-interpretability_eli5-skeleton.ipynb (ipynb)
• 03-interpretability_SHAP-skeleton.ipynb (ipynb)
• data (data)
• rstudio_supervised_learning_dc_2019 (rstudio_supervised_learning_dc_2019)
• diag-eq-1.svg (svg)
• Materials (Materials)
• LICENSE (LICENSE)
• Backup_Slides_files (Backup_Slides_files)
• figure-html (figure-html)
• diag-roc-1.svg (svg)
• Data (Data)
• two-sample-post-1.svg (svg)
• Part_1_Getting_Started_files (Part_1_Getting_Started_files)
• figure-html (figure-html)
• ames-knn-1.svg (svg)
• Part_2_Basic_Principles_files (Part_2_Basic_Principles_files)
• DiagrammeR-styles-0.2 (2)
• ggplot - example - disp-1.svg (svg)
• Proj4Leaflet-1.0.1 (1)
• Part_2_Basic_Principles.html (html)
• figure-html (figure-html)
• ames-split-dists-dist-1.svg (svg)
• proj4leaflet.js (js)
• proj4-compressed.js (js)
• boot-plot-1.svg (svg)
• cv-plot-1.svg (svg)
• grViz-binding-1.0.0 (0)
• cv-corr-1.svg (svg)
• htmlwidgets.js (js)
• htmlwidgets-1.3 (3)
• leaflet-1.3.1 (1)
• images (images)
• leaflet-binding-2.0.2 (2)
• leaflet-providers-1.1.17 (17)
• leaflet.css (css)
• leaflet-providers-plugin-2.0.2 (2)
• leafletfix-1.0.0 (0)
• rstudio_leaflet-1.3.1 (1)
• providers.json (json)
• images (images)
• viz-0.3 (3)
• Part_3_Feature_Engineering_files (Part_3_Feature_Engineering_files)
• figure-html (figure-html)
• Part_3_Feature_Engineering.html (html)
• bivariate-plot-natural-1.svg (svg)
• Part_3_Feature_Engineering.R (R)
• ames-hood-1.svg (svg)
• bivariate-plot-inverse-1.svg (svg)
• bivariate-rec-orig-1.svg (svg)
• embed-plot-1.svg (svg)
• latitude-1.svg (svg)
• Part_4_Regression_Modeling_files (Part_4_Regression_Modeling_files)
• figure-html (figure-html)
• car-mars-imp-1.svg (svg)
• bayes-contrast-plot-1.svg (svg)
• Part_4_Regression_Modeling.html (html)
• par-plot-1.svg (svg)
• test-op-1.svg (svg)
• reg-path-1.svg (svg)
• mars-sim-final-1.svg (svg)
• mars-cuts-1.svg (svg)
• widgets (widgets)
• girafe_libs (girafe_libs)
• d3-5.7.0 (0)
• d3-lasso-0.0.5 (5)
• ggiraphjs-0.1.0 (0)
• ggiraphjs.min.js (js)
• girafe-binding-0.6.0 (0)
• htmlwidgets-1.3 (3)
• htmlwidgets.js (js)
• pymjs-1.3.2 (2)
• Part_5_Classification.html (html)
• Part_5_Classification_files (Part_5_Classification_files)
• figure-html (figure-html)
• boot-cart-3-1.svg (svg)
• calib-roc-1.svg (svg)
• boot-cart-2-1.svg (svg)
• calib-hist-1.svg (svg)
• nb-cat-1.svg (svg)
• cart-split-2-1.svg (svg)
• cart-imp-1.svg (svg)
• nb-indep-1.svg (svg)
• nb-dens-1.svg (svg)
• cart-split-male-1.svg (svg)
• cart-plot-1.svg (svg)
• nb-numeric-1.svg (svg)
• cart-split-edu-1.svg (svg)
• nb-roc-plot-1.svg (svg)
• roc-plot-1.svg (svg)
• RData (RData)
• images (images)
• installs.R (R)
• libs (libs)
• DiagrammeR-styles-0.2 (2)
• Proj4Leaflet-1.0.1 (1)
• intro-process-1.svg (svg)
• blazy-1.8.2 (2)
• crosstalk-1.0.0 (0)
• css (css)
• proj4leaflet.js (js)
• styles.css (css)
• proj4-compressed.js (js)
• js (js)
• d3-5.7.0 (0)
• d3-lasso-0.0.5 (5)
• d3.min.js (js)
• ggiraphjs-0.1.0 (0)
• crosstalk.min.js (js)
• crosstalk.min.js.map (map)
• girafe-binding-0.6.0 (0)
• crosstalk.js (js)
• ggiraphjs.min.js (js)
• grViz-binding-1.0.0 (0)
• htmlwidgets-1.3 (3)
• jquery-1.11.3 (3)
• htmlwidgets.js (js)
• jquery-AUTHORS.txt (txt)
• leaflet.js (js)
• jquery.min.map (map)
• jquery-1.12.4 (4)
• kePrint-0.0.1 (1)
• leaflet-1.3.1 (1)
• images (images)
• leaflet.css (css)
• jquery.min.js (js)
• leaflet-binding-2.0.2 (2)
• leaflet-providers-1.1.17 (17)
• leaflet-providers.js (js)
• leaflet.js (js)
• providers.json (json)
• leaflet-providers-plugin-2.0.2 (2)
• leafletfix-1.0.0 (0)
• plotly-binding-4.8.0 (0)
• leafletfix.css (css)
• plotly-htmlwidgets-css-1.39.2 (2)
• plotly-main-1.39.2 (2)
• pymjs-1.3.2 (2)
• rstudio_leaflet-1.3.1 (1)
• images (images)
• plotly-htmlwidgets.css (css)
• typedarray-0.1 (1)
• viz-0.3 (3)
• macros.js (js)
• widgetframe-binding-0.3.1 (1)
• Preparations (Preparations)
• eda-and-visualization (eda-and-visualization)
• widgetframe.js (js)
• tidymodels.html (html)
• data (data)
• DatasaurusDozen.tsv (tsv)
• figure-html (figure-html)
• geo_mapping_viz.ipynb (ipynb)
• figure-markdown_github (figure-markdown_github)
• remark-css-0.0.1 (1)
• media (media)
• ks_test.md (md)
• auto-mpg.csv (csv)
• output_viz (output_viz)
• .ipynb_checkpoints (ipynb_checkpoints)
• hypothesis-tests (hypothesis-tests)
• data (data)
• ks_test_files (ks_test_files)
• figure-markdown_github (figure-markdown_github)
• radar_charts.ipynb (ipynb)
• hacker_statistics.ipynb (ipynb)
• ks_test.Rmd (Rmd)
• r_basic_data_science.md (md)
• playground-and-basics (playground-and-basics)
• r_basic_data_science.Rmd (Rmd)
• linear_regression.ipynb (ipynb)
• r_basic_data_science_files (r_basic_data_science_files)
• figure-markdown_github (figure-markdown_github)
• regression (regression)
• data (data)
• reinforcement-learning (reinforcement-learning)
• python_basic_data_science.ipynb (ipynb)
• life_expectancy.csv (csv)
• text-mining-and-nlp (text-mining-and-nlp)
• nlp_and_text_mining_files (nlp_and_text_mining_files)
• figure-markdown_github (figure-markdown_github)
• time-series (time-series)
• nlp_and_text_mining.md (md)
• nlp_and_text_mining.Rmd (Rmd)
• utilities (utilities)
• html_file_appender_bs4.ipynb (ipynb)
• html_example_file1.html (html)
• prophet_helper_functions.py (py)
• useful_classification_functions.R (R)
• imdb_answers.py (py)
• README.md (md)
• README.md (md)
• Part_2_Hands_On_1.R (R)
• Part_2_Hands_On_2.R (R)
• meta.moreno_propro_propro.txt (txt)
• bonus-1-network-statistical-inference-instructor.html (html)
• bonus-2-one-more-thing.html (html)
• index.html (html)
• grViz.js (js)
• README.md (md)
• lasso.js (js)
• documentation_options.js (js)
• rel.moreno_crime_crime.person.role (role)
• jquery.js (js)
• pym.v1.js (js)
• fonts_mtheme.css (css)
• 1-introduction.ipynb (ipynb)
• survey_site.csv (csv)
• .travis.yml (yml)
• recommender_basics.md.txt (txt)
• data.py (py)
• Readme.md (md)
• Readme.md (md)
• Readme.md (md)
• Readme.md (md)
• Readme.md (md)
• Readme.md (md)
• Readme.md (md)
• Readme-checkpoint.md (md)
• Readme.md (md)
• Part_4_Regression_Modeling.R (R)
• index.rst (rst)
• Part_1_Getting_Started.R (R)
• two-class-overfit-1.svg (svg)
• 03-bc_vs_dc_scatter.py (py)
• 03-extract_neighbors.py (py)
• FieldingOF.csv (csv)
• u-shape-1.svg (svg)
• nbconvert_config.py (py)
• LICENSE (LICENSE)
• README.moreno_innovation (moreno_innovation)
• d3-lasso.min.js (js)
• LICENSE (LICENSE)
• rstudio_leaflet.css (css)
• recommender_basics.html (html)
• package.json (json)
• Makefile (Makefile)
• setup_colab.sh (sh)
• styles.css (css)
• bag-imp-1.svg (svg)
• bayes-walkthrough.ipynb (ipynb)
• girafe.js (js)
• jquery.min.js (js)
• diag-dist-1.svg (svg)
• pauls_general_notes.ipynb (ipynb)
• bivariate-plot-pca-1.svg (svg)
• out.moreno_seventh_seventh (moreno_seventh_seventh)
• ATTRIBUTION.md (markdown)
• fonts_mtheme_max.css (css)
• grViz.js (js)
• girafe.js (js)
• environment.yml (yml)
• README.moreno_oz (moreno_oz)
• LICENSE (LICENSE)
• mtheme_max.css (css)
• .gitignore (gitignore)
• stale.yml (yml)
• default-fonts.css (css)
• default.css (css)
• styles.css (css)
• make_iq.py (py)
• ent.moreno_crime_crime.person.sex (sex)
• index.rst.txt (txt)
• Part_2_Hands_On_1_b.R (R)
• TeamsHalf.csv (csv)
• mars-2d-1.svg (svg)
• __init__.py (py)
• search.html (html)
• 8-US-airports-case-study-instructor.ipynb (ipynb)
• 7-game-of-thrones-case-study-student.ipynb (ipynb)
• 8-US-airports-case-study-student.ipynb (ipynb)
• 4-cliques-triangles-structures-student.ipynb (ipynb)
• .travis.yml (yml)
• 0-pre-tutorial-exercises.ipynb (ipynb)
• concat_2.csv (csv)
• beautiful_soup_scraping_demo.ipynb (ipynb)
• survey_visited.csv (csv)
• Makefile (Makefile)
• imdb.py (py)
• TeamsFranchises.csv (csv)
• finch_beaks_1975.csv (csv)
• nuclear_power_accidents.csv (csv)
• 03-extract_path_edges.py (py)
• update_env.sh (sh)
• 07-student-hierarchical-finches.ipynb (ipynb)
• 02-Instructor-Parameter_estimation_hypothesis_testing.ipynb (ipynb)
• Part_2_Basic_Principles.R (R)
• [4.2] - Intro to Matplotlib-checkpoint.ipynb (ipynb)
• leaflet-providers-plugin.js (js)
• environment.yml (yml)
• requirements.txt (txt)
• styles.css (css)
• Part_1_Getting_Started.html (html)
• car-mars-rmse-plot-1.svg (svg)
• leaflet.js (js)
• Part_2_Hands_On_2_b.R (R)
• cart-age-split-1.svg (svg)
• nb-smooth-1.svg (svg)
• test-probs-1.svg (svg)
• cart-orientation-split-1.svg (svg)
• useful_hyp_test_functions.R (R)
• ggrepl.svg (svg)
• dc_paycheck_sankey_basedata.csv (csv)
• eda_and_visualization.Rmd (Rmd)
• AwardsPlayers.csv (csv)
• 3-hubs-and-paths-instructor.ipynb (ipynb)
• gh.css (css)
• checkenv.py (py)
• 04-student-multi-group-comparsion-sterilization.ipynb (ipynb)
• requirements.txt (txt)
• nb-shrink-1.svg (svg)
• Part_5_Hands_On_1.R (R)
• underscore.js (js)
• out.ego-facebook (ego-facebook)
• 03-merge.ipynb (ipynb)
• ent.moreno_seventh_seventh.student.gender (gender)
• utils.py (py)
• load_data.py (py)
• rstudio_install.md (md)
• pym.v1.min.js (js)
• [5] - The Hello World Dataset.ipynb (ipynb)
• pew.csv (csv)
• reminders.md (md)
• meta.munmun_twitter_social.txt (txt)
• d3.min.js (js)
• .gitignore (gitignore)
• out.moreno_oz_oz (moreno_oz_oz)
• README.ego-facebook (ego-facebook)
• 03-shortest_path.py (py)
• installs.R (R)
• tutorial.ipynb (ipynb)
• 02-Student-Parameter_estimation_hypothesis_testing.ipynb (ipynb)
• CONTRIBUTORS (CONTRIBUTORS)
• FEEDBACK-CONTRIBUTORS (FEEDBACK-CONTRIBUTORS)
• README.moreno_crime (moreno_crime)
• .Rhistory (Rhistory)
• leaflet.js (js)
• leaflet-providers.js (js)
• README.md (md)
• kNearestNeighboursPNormsAlgorithm.R (R)
• modernizr.min.js (js)
• genindex.html (html)
• index.html (html)
• fl_senate_polls.csv (csv)
• output.html (html)
• senate_dashboard.ipynb (ipynb)
• billboard.csv (csv)
• concat_1.csv (csv)
• weather.csv (csv)
• 01-intro.ipynb (ipynb)
• 02-tidy.ipynb (ipynb)
• .pyup.yml (yml)
• GlobalAirportDatabase.txt (txt)
• README.munmun_twitter_social.txt (txt)
• README.sociopatterns-infectious (sociopatterns-infectious)
• meta.sociopatterns-infectious (sociopatterns-infectious)
• 8-US-aiports-case-study-instructor.html (html)
• 8-US-airports-case-study-instructor.html (html)
• 02-len-graph.py (py)
• 02-num_edges.py (py)
• 03-num_neighbors_ecdf.py (py)
• 03-pass_message.py (py)
• 03-pass_message_distribution.py (py)
• PitchingPost.csv (csv)
• LICENSE (LICENSE)
• README.md (md)
• README.txt (txt)
• AllstarFull.csv (csv)
• AwardsShareManagers.csv (csv)
• CollegePlaying.csv (csv)
• HomeGames.csv (csv)
• SeriesPost.csv (csv)
• Teams.csv (csv)
• kruschke_model.pdf (pdf)
• 03-student-two-group-iq.ipynb (ipynb)
• 06-instructor-hierarchical-baseball.ipynb (ipynb)
• 07-instructor-hierarchical-finches.ipynb (ipynb)
• README-checkpoint.md (md)
• pauls_general_notes-checkpoint.ipynb (ipynb)
• [6] - Linear Regression-checkpoint.ipynb (ipynb)
• [6] - Linear Regression.ipynb (ipynb)
• Readme.md (md)
• README.md (md)
• 02-interpretability_LIME-skeleton.ipynb (ipynb)
• helpers.py (py)
• Backup_Slides.html (html)
• rstudio_leaflet.css (css)
• ames-knn-indiv-1.svg (svg)
• mod-process-1.svg (svg)
• rs-diagram-1.svg (svg)
• two-class-2panel-1.svg (svg)
• leaflet-providers-plugin.js (js)
• leafletfix.css (css)
• lm-obs-pred-show-1.svg (svg)
• tp-parallel-1.svg (svg)
• longitude-1.svg (svg)
• year-built-ac-plot-1.svg (svg)
• year-built-plot-1.svg (svg)
• blazy.min.js (js)
• car-glmn-imp-1.svg (svg)
• car-glmn-rmse-plot-1.svg (svg)
• mars-bag-final-1.svg (svg)
• mars-sim-1.svg (svg)
• mars-sim-fit-1.svg (svg)
• reg-glmnet-path-1.svg (svg)
• reg-glmnet-path-plot-1.svg (svg)
• lasso.js (js)
• Part_5_Classification.R (R)
• bag-roc-plot-1.svg (svg)
• boot-cart-1-1.svg (svg)
• cart-roc-plot-1.svg (svg)
• cart-split-1-1.svg (svg)
• nb-plot-1.svg (svg)
• normal-shape-1.svg (svg)
• test-roc-1.svg (svg)
• Part_5_Hands_On_2.R (R)
• dc.Rproj (Rproj)
• crosstalk.css (css)
• crosstalk.js.map (map)
• d3-lasso.min.js (js)
• kePrint.js (js)
• pym.v1.min.js (js)
• typedarray.min.js (js)
• forecasting_with_prophet.ipynb (ipynb)
• html_example_file2.html.html (html)
• Readme.md (md)
• Readme.md (md)
• Readme.md (md)
• utils.py (py)
• checkenv.py (py)
• README.moreno_seventh (moreno_seventh)
• 03-degree_centrality_ecdf.py (py)
• pygments.css (css)
• 3-hubs-and-paths-student.ipynb (ipynb)
• README.md (md)
• recommender_basics.md (md)
• LICENSE (LICENSE)
• gapminder.tsv (tsv)
• badge_only.css (css)
• survey_survey.csv (csv)
• ManagersHalf.csv (csv)
• finch_beaks_2012.csv (csv)
• pycon2018.md (md)
• meta.moreno_oz_oz (moreno_oz_oz)
• 01-Student-Probability_a_simulated_introduction.ipynb (ipynb)
• iq.csv (csv)
• michelson_speed_of_light.csv (csv)
• bonus-exploration-finches.ipynb (ipynb)
• plotly.js (js)
• [10] - K Means Clustering with Real World Dataset and Pandas-checkpoint.ipynb (ipynb)
• tp-post-plot-1.svg (svg)
• pym.v1.js (js)
• Part_3_Hands_On_1.R (R)
• jquery.js (js)
• package.json (json)
• ft_mba_2018_rankings.csv (csv)
• perc_us_gdp_by_state_2017.csv (csv)