Machine-Learning:此处添加了与机器学习工程相关的项目

时间:2024-04-01 15:07:06
【文件属性】:

文件名称:Machine-Learning:此处添加了与机器学习工程相关的项目

文件大小:1.83MB

文件格式:ZIP

更新时间:2024-04-01 15:07:06

JupyterNotebook

机器学习 此处添加了与机器学习工程相关的项目。


【文件预览】:
Machine-Learning-master
----NLP()
--------Text_Analysis.ipynb(233KB)
----Unsupervised Technique()
--------Kmeans Clustering.ipynb(53KB)
----Supervised Techniques()
--------Support Vector Machine.ipynb(21KB)
--------Predicting House Sale Prices.ipynb(118KB)
--------Decision Tree.ipynb(22KB)
--------Digits Data.ipynb(22KB)
--------Prescriptive_DA.ipynb(328KB)
--------Predicting Bike Rentals.ipynb(24KB)
--------Logistic Regression.ipynb(27KB)
--------Random Forest.ipynb(17KB)
--------Naive Bayes -- Gaussian .ipynb(18KB)
--------Hyper Parameter Tuning.ipynb(49KB)
--------Multinomial Naive Bayes.ipynb(24KB)
--------Predicting Car Prices using K-Nearest Neighbors.ipynb(85KB)
----README.md(84B)
----Neural Network()
--------ANN_Churn_Modelling.ipynb(35KB)
--------Fashion_keras_nn.ipynb(170KB)
--------Digit_data.ipynb(126KB)
--------Activation func.ipynb(4KB)
--------Stochastic, Batch and Mini batch GD.ipynb(59KB)
--------Data_aug.ipynb(64KB)
--------Telecom_churn_model (1).ipynb(127KB)
--------Matrix.ipynb(2KB)
--------Building A Handwritten Digits Classifier.ipynb(172KB)
--------Gradient Descent.ipynb(649KB)
--------CIFAR_CNN (1).ipynb(64KB)
--------CNN_Data_Augmentation.ipynb(299KB)
--------myNNN.ipynb(660KB)
--------hack.ipynb(11KB)
--------OptimizedCNNModel.ipynb(46KB)
--------Transfer_Learning.ipynb(523KB)
--------cost_loss.ipynb(5KB)
--------Image Reading using CV2.ipynb(199KB)

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