|
..
|
|
mnist
|
|
01-IntroPython.ipynb
|
|
02-IntroMachineLearning.ipynb
|
|
02-IntroMachineLearning_update.ipynb
|
|
03-Pandas.ipynb
|
|
04-linear_regression.ipynb
|
|
05-logistic_regression.ipynb
|
|
06-data_preparation_evaluation.ipynb
|
|
06-data_preparation_evaluation_update.ipynb
|
|
07-Kaggle Competition_update.ipynb
|
|
08-feature_selection.ipynb
|
|
09-Naive_Bayes.ipynb
|
|
10-KNN.ipynb
|
|
11-Information_retrieval.ipynb
|
|
11-Information_retrieval_update.ipynb
|
|
12-NLP.ipynb
|
|
13_decision_trees-update.ipynb
|
|
13_decision_trees.ipynb
|
|
15_Unbalanced_Datasets.ipynb
|
|
16_EnsembleMethods_Bagging.ipynb
|
|
17_EnsembleMethods_cont.ipynb
|
|
18-SVM.ipynb
|
|
19_regularization.ipynb
|
|
20_CostSensitiveClassification.ipynb
|
|
21_Intro_DeepLearning.ipynb
|
|
22-ModelDeployment.ipynb
|
|
12_mashable_texts.csv
|
|
ch9_fig1.png
|
|
cnn_explained.png
|
|
conv_1D_nn.png
|
|
d1.png
|
|
d2.png
|
|
d3.png
|
|
d4.png
|
|
d5.png
|
|
d6.png
|
|
d7.png
|
|
googlenet2.png
|
|
houses_portland.csv
|
|
iris_with_length.png
|
|
load.py
|
|
m22_model_deployment.py
|
|
mylenet.png
|
|
phishing.csv.zip
|
|
sparse_1D_nn.png
|
