【文件属性】：
文件名称：kaggle-courses
文件大小：2.64MB
文件格式：ZIP
更新时间：2021-03-26 03:29:18
JupyterNotebook
来自Kaggle迷你课程课程以刷新编程和ML概念（在大学学习）
【文件预览】：
kaggle-courses-master
----intermediate_ML()
--------.ipynb_checkpoints()
--------exercise-cross-validation.ipynb(34KB)
--------get-started-mar-tabular-playground-competition.ipynb(14KB)
--------exercise-data-leakage.ipynb(17KB)
--------AnarHasanov - Intermediate Machine Learning.png(65KB)
--------exercise-pipelines.ipynb(10KB)
--------exercise-xgboost.ipynb(21KB)
--------exercise-categorical-variables.ipynb(87KB)
--------exercise-missing-values.ipynb(13KB)
--------exercise-introduction.ipynb(11KB)
----ML_explainability()
--------2- exercise-partial-plots.ipynb(682KB)
--------1- exercise-permutation-importance.ipynb(31KB)
--------AnarHasanov - Machine Learning Explainability.png(75KB)
--------4- exercise-advanced-uses-of-shap-values.ipynb(263KB)
--------3- exercise-shap-values.ipynb(232KB)
----data_cleaning()
--------.ipynb_checkpoints()
--------exercise-handling-missing-values.ipynb(39KB)
--------exercise-scaling-and-normalization.ipynb(77KB)
--------pakistan_intellectual_capital.csv(230KB)
--------exercise-parsing-dates.ipynb(36KB)
--------exercise-character-encodings.ipynb(7KB)
--------exercise-inconsistent-data-entry.ipynb(55KB)
--------AnarHasanov - Data Cleaning.png(75KB)
----intro_to_ML()
--------exercise-your-first-machine-learning-model-113dd8.ipynb(6KB)
--------.ipynb_checkpoints()
--------AnarHasanov - Intro to Machine Learning.png(74KB)
--------exercise-underfitting-and-overfitting.ipynb(9KB)
--------exercise-machine-learning-competitions.ipynb(10KB)
--------exercise-model-validation.ipynb(11KB)
--------exercise-explore-your-data.ipynb(16KB)
--------exercise-random-forests.ipynb(7KB)
----README.md(128B)
----python()
--------.ipynb_checkpoints()
--------exercise-lists.ipynb(8KB)
--------exercise-loops-and-list-comprehensions.ipynb(13KB)
--------exercise-booleans-and-conditionals.ipynb(29KB)
--------exercise-strings-and-dictionaries.ipynb(14KB)
--------AnarHasanov - Python.png(74KB)
--------exercise-working-with-external-libraries.ipynb(17KB)
----pandas()
--------exercise-summary-functions-and-maps.ipynb(32KB)
--------.ipynb_checkpoints()
--------AnarHasanov - Pandas.png(74KB)
--------exercise-data-types-and-missing-values.ipynb(9KB)
--------exercise-renaming-and-combining.ipynb(41KB)
--------exercise-grouping-and-sorting.ipynb(27KB)
--------exercise-creating-reading-and-writing.ipynb(5KB)
--------exercise-indexing-selecting-assigning.ipynb(8KB)
----feature_engineering()
--------exercise-creating-features.ipynb(45KB)
--------exercise-mutual-information.ipynb(458KB)
--------exercise-clustering-with-k-means.ipynb(241KB)
--------AnarHasanov - Feature Engineering.png(74KB)
--------exercise-target-encoding.ipynb(69KB)
--------exercise-principal-component-analysis.ipynb(57KB)
----data_visualization()
--------.ipynb_checkpoints()
--------exercise-distributions.ipynb(84KB)
--------exercise-choosing-plot-types-and-custom-styles.ipynb(106KB)
--------AnarHasanov - Data Visualization.png(64KB)
--------exercise-scatter-plots.ipynb(199KB)
--------exercise-final-project.ipynb(60KB)
--------exercise-hello-seaborn.ipynb(9KB)
--------exercise-line-charts.ipynb(234KB)