文件名称：机器学习：机器学习假期学习材料
文件大小：6.1MB
文件格式：ZIP
更新时间：2024-02-24 19:03:37
data-science machine-learning deep-learning neural-network numpy
机器学习 机器学习休假学习资料
【文件预览】：
machine-learning-master
----.gitignore(1KB)
----data()
--------logistic3.csv(4KB)
--------iris.csv(5KB)
--------housing.csv(16KB)
--------logistic.csv(4KB)
--------fakedata.csv(599KB)
--------test_housing.csv(441KB)
--------FremontBridge.csv(1.3MB)
--------train_housing.csv(450KB)
--------advertising.csv(4KB)
--------linear.csv(5KB)
--------BicycleWeather.csv(229KB)
--------logistic2.csv(264B)
--------pandastutorial.csv(75KB)
----kaggle()
--------ToxicComments.ipynb(1KB)
--------BicycleTraffic.ipynb(79KB)
--------datasets.txt(2KB)
--------Titanic.ipynb(363KB)
--------HousingPrices.ipynb(768KB)
--------CircleUp.ipynb(7KB)
--------FaceRecognition.ipynb(1.08MB)
----LICENSE(1KB)
----utils()
--------training.py(6KB)
--------csv_loader.py(481B)
--------__init__.py(0B)
--------im2col.py(2KB)
--------datasets.py(7KB)
--------layers.py(2KB)
--------models.py(3KB)
--------learning_rates.py(6KB)
--------predictions.py(1KB)
--------metrics.py(3KB)
--------visualize.py(0B)
--------imgs.py(4KB)
--------metadata.py(672B)
--------files.py(3KB)
--------img_loader.py(304B)
----constants.py(316B)
----README.md(63B)
----config.py(44B)
----applied()
--------DataCleaning.ipynb(13KB)
--------Visualizations.ipynb(2KB)
--------CollaborativeFiltering.ipynb(2KB)
--------XGBoost.ipynb(967B)
--------Clustering.ipynb(64KB)
--------Regression.ipynb(3KB)
--------Python3.ipynb(9KB)
--------Seaborn.ipynb(2KB)
--------TimeSeries.ipynb(331KB)
--------Multithreading.ipynb(265KB)
--------Numpy.ipynb(47KB)
--------CVGridSearch.ipynb(61KB)
--------FeatureEngineering.ipynb(33KB)
--------Pandas.ipynb(31KB)
--------Notes.ipynb(43KB)
--------Scikit.ipynb(357KB)
--------Classification.ipynb(2KB)
--------Matplotlib.ipynb(1.03MB)
----common.py(1KB)
----theory()
--------K-means.ipynb(1.5MB)
--------ConfusionMatrix.ipynb(80KB)
--------Matrices.ipynb(3KB)
--------LinearRegression.ipynb(119KB)
--------LossFunctions.ipynb(7KB)
--------Vectors.ipynb(6KB)
--------LogisticRegression.ipynb(302KB)
--------Metrics.ipynb(13KB)
--------GridSearch.ipynb(74KB)
--------DecisionTree.ipynb(40KB)
--------CrossValidation.ipynb(38KB)
--------RNN.ipynb(967B)
--------T-SNE.ipynb(9KB)
--------KNN.ipynb(37KB)
--------SVM.ipynb(386KB)
--------LinearAlgebra.ipynb(26KB)
--------PCA.ipynb(495KB)
--------ScikitLinearRegression.ipynb(14KB)
--------LearningRates.ipynb(8KB)
--------Titanic.ipynb(72B)
--------NaiveBayes.ipynb(193KB)
--------RandomForest.ipynb(202KB)
--------LinearRegressionSklearn.ipynb(95KB)
--------LSTM.ipynb(72B)
--------NeuralNetwork.ipynb(42KB)
--------VAE.ipynb(7KB)
--------ManifoldLearning.ipynb(372KB)