├── .gitignore ├── LICENSE ├── README.md ├── advanced_sql ├── 01-joins-and-unions.ipynb ├── 02-analytic-functions.ipynb ├── 03-nested-and-repeated-data.ipynb └── 04-writing-efficient-queries.ipynb ├── computer_vision ├── 01-the-convolutional-classifier.ipynb ├── 02-convolution-and-relu.ipynb ├── 03-maximum-pooling.ipynb ├── 04-the-sliding-window.ipynb ├── 05-custom-convnets.ipynb └── 06-data-augmentation.ipynb ├── data_cleaning ├── 01-handling-missing-values.ipynb ├── 02-scaling-and-normalization.ipynb ├── 03-parsing-dates.ipynb ├── 04-character-encodings.ipynb └── 05-inconsistent-data-entry.ipynb ├── data_visualization ├── 01-hello-seaborn.ipynb ├── 02-line-charts.ipynb ├── 03-bar-charts-and-heatmaps.ipynb ├── 04-scatter-plots.ipynb ├── 05-distributions.ipynb ├── 06-choosing-plot-types-and-custom-styles.ipynb └── 07-final-project.ipynb ├── deep_learning ├── 01-intro-to-dl-for-computer-vision.ipynb ├── 03-tensorflow-programming.ipynb ├── 04-transfer-learning.ipynb ├── 05-data-augmentation.ipynb ├── 07-deep-learning-from-scratch.ipynb └── 08-dropout-and-strides-for-larger-models.ipynb ├── feature_engineering ├── 02-mutual-information.ipynb ├── 03-creating-features.ipynb ├── 04-clustering-with-k-means.ipynb ├── 05-principal-component-analysis.ipynb └── 06-target-encoding.ipynb ├── feature_engineering_2019 ├── 01-baseline-model.ipynb ├── 02-categorical-encodings.ipynb ├── 03-feature-generation.ipynb └── 04-feature-selection.ipynb ├── geospatial_analysis ├── 01-your-first-map.ipynb ├── 02-coordinate-reference-systems.ipynb ├── 03-interactive-maps.ipynb ├── 04-manipulating-geospatial-data.ipynb └── 05-proximity-analysis.ipynb ├── intermediate_machine_learning ├── 01-introduction.ipynb ├── 02-missing-values.ipynb ├── 03-categorical-variables.ipynb ├── 04-pipelines.ipynb ├── 05-cross-validation.ipynb ├── 06-xgboost.ipynb └── 07-data-leakage.ipynb ├── intro_to_ai_ethics ├── 02-human-centered-design-for-ai.ipynb ├── 03-identifying-bias-in-ai.ipynb ├── 04-ai-fairness.ipynb └── 05-model-cards.ipynb ├── intro_to_deep_learning ├── 01-a-single-neuron.ipynb ├── 02-deep-neural-networks.ipynb ├── 03-stochastic-gradient-descent.ipynb ├── 04-overfitting-and-underfitting.ipynb ├── 05-dropout-and-batch-normalization.ipynb └── 06-binary-classification.ipynb ├── intro_to_game_ai_and_reinforcement_learning ├── 01-play-the-game.ipynb ├── 02-one-step-lookahead.ipynb ├── 03-n-step-lookahead.ipynb └── 04-deep-reinforcement-learning.ipynb ├── intro_to_machine_learning ├── 02-explore-your-data.ipynb ├── 03-your-first-machine-learning-model.ipynb ├── 04-model-validation.ipynb ├── 05-underfitting-and-overfitting.ipynb ├── 06-random-forests.ipynb └── 07-machine-learning-competitions.ipynb ├── intro_to_sql ├── 01-getting-started-with-sql-and-bigquery.ipynb ├── 02-select-from-where.ipynb ├── 03-group-by-having-count.ipynb ├── 04-order-by.ipynb ├── 05-as-with.ipynb └── 06-joining-data.ipynb ├── machine_learning_explainability ├── 02-permutation-importance.ipynb ├── 03-partial-plots.ipynb ├── 04-shap-values.ipynb └── 05-advanced-uses-of-shap-values.ipynb ├── microchallenges ├── 01-blackjack-microchallenge.ipynb └── 02-airline-price-optimization-micro-challenge.ipynb ├── natural_language_processing ├── 01-intro-to-nlp.ipynb ├── 02-text-classification.ipynb └── 03-word-vectors.ipynb ├── pandas ├── 01-creating-reading-and-writing.ipynb ├── 02-indexing-selecting-assigning.ipynb ├── 03-summary-functions-and-maps.ipynb ├── 04-grouping-and-sorting.ipynb ├── 05-data-types-and-missing-values.ipynb └── 06-renaming-and-combining.ipynb ├── python ├── 01-syntax-variables-and-numbers.ipynb ├── 02-functions-and-getting-help.ipynb ├── 03-booleans-and-conditionals.ipynb ├── 04-lists.ipynb ├── 05-loops-and-list-comprehensions.ipynb ├── 06-strings-and-dictionaries.ipynb └── 07-working-with-external-libraries.ipynb └── time_series ├── 01-linear-regression-with-time-series.ipynb ├── 02-trend.ipynb ├── 03-seasonality.ipynb ├── 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