【文件属性】：
文件名称：机器学习课程：这是面向软件工程师的机器学习教程
文件大小：3.56MB
文件格式：ZIP
更新时间：2021-02-04 01:32:23
python machine-learning tutorial course numpy
机器学习课程：这是面向软件工程师的机器学习教程
【文件预览】：
Machine-Learning-Course-master
----.gitignore(78B)
----data()
--------iris.csv(4KB)
--------movie.csv(1.47MB)
--------boston_house_prices.csv(34KB)
--------breast_cancer.csv(122KB)
--------gapminder.csv(764KB)
--------*.csv(6.7MB)
--------digits.csv(259KB)
--------users.tsv(22KB)
----notebooks()
--------01-pandas-read-files.ipynb(3KB)
--------11-pandas-statistics.ipynb(4KB)
--------13-pandas-select-multiple-rows-columns.ipynb(7KB)
--------21-numpy-slicing.ipynb(8KB)
--------05-pandas-delete-columns.ipynb(4KB)
--------22-numpy-masking.ipynb(3KB)
--------14-pandas-multiindexing.ipynb(7KB)
--------09-pandas-type.ipynb(4KB)
--------36-seaborn-basic-plots.ipynb(3KB)
--------29-matplotlib-pyplot.ipynb(4KB)
--------07-pandas-order-rows.ipynb(4KB)
--------04-pandas-rename-columns.ipynb(4KB)
--------06-pandas-filter-columns.ipynb(6KB)
--------42-sklearn-kmeans.ipynb(5KB)
--------17-pandas-date.ipynb(5KB)
--------12-pandas-indexing.ipynb(7KB)
--------26-numpy-random-numbers.ipynb(3KB)
--------34-matplotlib-styling.ipynb(2KB)
--------16-pandas-dummy-variables.ipynb(3KB)
--------25-numpy-broadcasting.ipynb(4KB)
--------39-sklearn-cross-validation-grid-search.ipynb(7KB)
--------15-pandas-apply.ipynb(4KB)
--------41-sklearn-random-forest.ipynb(9KB)
--------20-numpy-array-operation.ipynb(6KB)
--------28-matplotlib-hbar-chart.ipynb(3KB)
--------27-matplotlib-basic-plots.ipynb(4KB)
--------02-pandas-dataframe-statistics.ipynb(4KB)
--------23-numpy-special-arrays.ipynb(4KB)
--------33-matplotlib-bar-chart-stacking.ipynb(2KB)
--------32-matplotlib-area-plot.ipynb(2KB)
--------44-sklearn-dbscan.ipynb(4KB)
--------47-sklearn-regularized-linear-regression.ipynb(7KB)
--------03-pandas-select-data-series.ipynb(5KB)
--------24-numpy-statistics.ipynb(4KB)
--------38-sklearn-nearest-neighbor.ipynb(5KB)
--------35-matplotlib-ticks.ipynb(5KB)
--------18-pandas-duplicated-data.ipynb(5KB)
--------31-matplotlib-shared-axis.ipynb(3KB)
--------30-matplotlib-object-oriented.ipynb(4KB)
--------10-pandas-groupby.ipynb(5KB)
--------19-numpy-array-creation.ipynb(4KB)
--------08-pandas-handle-missing-values.ipynb(8KB)
--------48-sklearn-logistic-regression.ipynb(5KB)
--------40-sklearn-decision-tree.ipynb(7KB)
--------46-sklearn-linear-regression.ipynb(6KB)
--------50-sklearn-neural-networks.ipynb(5KB)
--------43-scipy-hierarchical-clustering.ipynb(5KB)
--------49-sklearn-pca.ipynb(4KB)
--------37-machine-learning-concept.ipynb(3KB)
--------45-sklearn-randorm-forest-regression.ipynb(5KB)
----README.md(274B)
----img()
--------demo.png(163KB)