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2020-05-21-Software-Engineering-Practices-Pt-1.ipynb
2020-05-22-01-Decorator.ipynb
2020-05-22-02-More-On-Decorators.ipynb
2020-05-23-01-Read-clean-and-validate.ipynb
2020-05-23-02-Distributions.ipynb
2020-05-24-01-Relationships.ipynb
2020-05-24-02-Multivariate-Thinking.ipynb
2020-05-25-01-Preparing-the-data-for-analysis.ipynb
2020-05-25-02-Exploring-the-relationship-between-gender-and-policing.ipynb
2020-05-25-03-Visual-exploratory-data-analysis.ipynb
2020-05-25-04-Software-Engineering-Practices-Pt-2.ipynb
2020-05-26-01-Analyzing-the-effect-of-weather-on-policing.ipynb
2020-05-26-02-Graphical-exploratory-data-analysis.ipynb
2020-05-26-03-Quantitative-exploratory-data-analysis.ipynb
2020-05-26-04-Thinking-probabilistically-Discrete-variables.ipynb
2020-05-26-05-Thinking-probabilistically-Continuous-variables.ipynb
2020-05-27-01-Parameter-estimation-by-optimization.ipynb
2020-05-27-02-Bootstrap-confidence-intervals.ipynb
2020-05-28-01-Introduction-to-hypothesis-testing.ipynb
2020-05-28-02-Putting-it-all-together-a-case-study.ipynb
2020-05-29-01-Dr-Semmelweis-and-the-Discovery-of-Handwashing.ipynb
2020-05-29-02-Classification.ipynb
2020-05-29-03-Regression.ipynb
2020-05-30-01-Fine-tuning-your-model.ipynb
2020-05-31-01-Preprocessing-and-pipelines.ipynb
2020-05-31-02-Predicting-Credit-Card-Approvals.ipynb
2020-05-31-03-Machine-Learning.ipynb
2020-06-01-01-Clustering-for-dataset-exploration.ipynb
2020-06-01-02-Visualization-with-hierarchical-clustering-and-t-SNE.ipynb
2020-06-01-03-Statistical-Fallacies.ipynb
2020-06-02-01-Decorrelating-your-data-and-dimension-reduction.ipynb
2020-06-02-02-Discovering-interpretable-features.ipynb
2020-06-03-01-Decision-tree-for-classification.ipynb
2020-06-03-02-The-Bias-Variance-Tradeoff.ipynb
2020-06-04-01-Bagging-and-Random-Forests.ipynb
2020-06-04-02-Boosting.ipynb
2020-06-04-03-Model-Tuning.ipynb
2020-06-05-01-School-Budgeting-with-Machine-Learning-in-Python.ipynb
2020-06-06-01-Introduction-to-Clustering.ipynb
2020-06-06-02-Hierarchical-Clustering.ipynb
2020-06-06-03-K-Means-Clustering.ipynb
2020-06-06-04-Clustering-in-Real-World.ipynb
2020-06-07-01-Correlation-and-Autocorrelation.ipynb
2020-06-07-02-Some-Simple-Time-Series.ipynb
2020-06-08-01-Autoregressive-Models.ipynb
2020-06-08-02-Moving-Average-and-ARMA-Models.ipynb
2020-06-09-01-TSA-Putting-It-All-Together.ipynb
2020-06-09-02-Working-with-Time-Series-in-Pandas.ipynb
2020-06-10-01-Basic-Time-Series-Metrics-and-Resampling.ipynb
2020-06-11-01-Window-Functions-Rolling-and-Expanding-Metrics.ipynb
2020-06-12-01-Building-a-value-weighted-index.ipynb
2020-06-12-02-Introduction.ipynb
2020-06-12-03-Summary-Statistics-and-Diagnostics.ipynb
2020-06-13-01-Seasonality-Trend-and-Noise.ipynb
2020-06-13-02-Work-with-Multiple-Time-Series.ipynb
2020-06-14-01-Case-Study.ipynb
2020-06-15-01-ARMA-Models.ipynb
2020-06-15-02-Fitting-the-Future.ipynb
2020-06-16-01-The-Best-of-the-Best-Models.ipynb
2020-06-16-02-Seasonal-ARIMA-Models.ipynb
2020-06-17-01-Time-Series-and-Machine-Learning-Primer.ipynb
2020-06-17-02-Time-Series-as-Inputs-to-a-Model.ipynb
2020-06-18-01-Predicting-Time-Series-Data.ipynb
2020-06-18-02-Validating-and-Inspecting-Time-Series-Models.ipynb
2020-06-19-01-Exploring-Linear-Trends.ipynb
2020-06-19-02-Building-Linear-Models.ipynb
2020-06-20-01-Making-Model-Predictions.ipynb
2020-06-21-01-Estimating-Model-Parameters.ipynb
2020-06-21-02-Basics-of-randomness-and-simulation.ipynb
2020-06-21-03-Probability-and-data-generation-process.ipynb
2020-06-22-01-Resampling-methods.ipynb
2020-06-22-02-Advanced-Applications-of-Simulation.ipynb
2020-06-23-01-Fish-sleep-and-bacteria-growth.ipynb
2020-06-23-02-Analysis-of-results-of-the-2015-FINA-World-Swimming-Championships.ipynb
2020-06-24-01-The-Current-Controversy-of-the-2013-World-Championships.ipynb
2020-06-24-02-Statistical-seismology-and-the-Parkfield-region.ipynb
2020-06-24-03-Earthquakes-and-oil-mining-in-Oklahoma.ipynb
2020-06-26-01-Introduction-to-Matplotlib.ipynb
2020-06-26-02-Plotting-time-series.ipynb
2020-06-26-03-Quantitative-comparisons-and-statistical-visualizations.ipynb
2020-06-26-04-Sharing-visualizations-with-others.ipynb
2020-06-26-05-Highlighting-your-data.ipynb
2020-06-26-06-Introduction-to-Seaborn.ipynb
2020-06-26-07-Visualizing-Two-Quantitative-Variables.ipynb
2020-06-26-08-Visualizing-a-Categorical-and-a-Quantitative-Variable.ipynb
2020-06-27-01-Customizing-Seaborn-Plots.ipynb
2020-06-28-01-Using-color-in-your-visualizations.ipynb
2020-06-29-01-Showing-uncertainty.ipynb
2020-06-30-01-Visualization-in-the-data-science-workflow.ipynb
2020-06-30-02-Basic-plotting-with-Bokeh.ipynb
2020-06-30-03-Layouts-Interactions-and-Annotations.ipynb
2020-07-01-01-Building-2-layer-maps-combining-polygons-and-scatterplots.ipynb
2020-07-01-02-Creating-and-joining-GeoDataFrames.ipynb
2020-07-02-01-GeoSeries-and-folium.ipynb
2020-07-03-01-Creating-a-choropleth-building-permit-density-in-Nashville.ipynb
2020-07-05-01-Applying-logistic-regression-and-SVM.ipynb
2020-07-05-02-Loss-functions.ipynb
2020-07-06-01-Logistic-regression.ipynb
2020-07-06-02-Support-Vector-Machines.ipynb
2020-07-06-03-Classification-with-XGBoost.ipynb
2020-07-07-01-Regression-with-XGBoost.ipynb
2020-07-07-02-Fine-tuning-your-XGBoost-model.ipynb
2020-07-07-03-Using-XGBoost-in-pipelines.ipynb
2020-07-08-01-Exploring-high-dimensional-data.ipynb
2020-07-08-02-Feature-selection-I-selecting-for-feature-information.ipynb
2020-07-08-03-Feature-selection-II-selecting-for-model-accuracy.ipynb
2020-07-09-01-Feature-extraction.ipynb
2020-07-09-02-Introduction-to-Data-Preprocessing.ipynb
2020-07-09-03-Standardizing-Data.ipynb
2020-07-09-04-Feature-Engineering.ipynb
2020-07-10-01-Selecting-features-for-modeling.ipynb
2020-07-10-02-Preprocessing-Putting-it-all-together.ipynb
2020-07-12-01-Creating-Features.ipynb
2020-07-12-02-Dealing-with-Messy-Data.ipynb
2020-07-12-03-Conforming-to-Statistical-Assumptions.ipynb
2020-07-12-04-Dealing-with-Text-Data.ipynb
2020-07-13-01-Basic-Modeling-in-scikit-learn.ipynb
2020-07-13-02-Validation-Basics.ipynb
2020-07-14-01-Cross-Validation.ipynb
2020-07-14-02-Selecting-the-best-model-with-Hyperparameter-tuning.ipynb
2020-07-14-03-Gym-MiniGrid-rendering.ipynb
2020-07-15-01-Regular-expressions-and-word-tokenization.ipynb
2020-07-15-02-Simple-topic-identification.ipynb
2020-07-16-01-Named-entity-recognition.ipynb
2020-07-16-02-Building-a-fake-news-classifier.ipynb
2020-07-17-01-Basic-features-and-readability-scores.ipynb
2020-07-17-02-Text-preprocessing-POS-tagging-and-NER.ipynb
2020-07-17-03-N-Gram-models.ipynb
2020-07-17-04-TF-IDF-and-similarity-scores.ipynb
2020-07-18-01-Introduction-to-TensorFlow.ipynb
2020-07-19-01-Linear-models.ipynb
2020-07-20-01-Neural-Networks.ipynb
2020-07-20-02-High-Level-APIs.ipynb
2020-07-21-01-Basics-of-deep-learning-and-neural-networks.ipynb
2020-07-21-02-Optimizing-a-neural-network-with-backward-propagation.ipynb
2020-07-21-03-Building-deep-learning-models-with-keras.ipynb
2020-07-21-04-Fine-tuning-keras-models.ipynb
2020-07-22-01-Introducing-Keras.ipynb
2020-07-23-01-Going-Deeper.ipynb
2020-07-23-02-Improving-Your-Model-Performance.ipynb
README.md