Python-此项目是机器学习NLP面试中常考到的知识点和代码实现
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2019-08-10
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Python-此项目是机器学习NLP面试中常考到的知识点和代码实现.zip （66个子文件） 
ML-NLP-master Deep Learning 
README.md 2KB 10. Neural Network README.md 25KB TensorFlow_LR.ipynb 42KB Machine Learning 6. EM gmm_em gmm.data 5KB genSample.py 493B README.md 747B sample.data 5KB main.py 1KB gmm.py 5KB README.md 9KB 3.1 Random Forest 3.1 Random Forest.md 9KB RandomForestRegression.ipynb 49KB README.md 9KB 5.2 Markov 5.2 Markov.md 22KB README.md 22KB 5.2 HMM.ipynb 16KB 3.Desition Tree DecisionTree.ipynb 736KB Desition Tree.md 12KB README.md 12KB DecisionTree.csv 3.02MB Liner Regression 1.Liner Regression.md 7KB README.md 7KB demo 
kc_test.txt 178KB kc_train.txt 663KB README.md 7KB housing_price.py 2KB 5.1 Bayes Network 5.1 Bayes Network.md 19KB Naive Bayes Classifier.ipynb 5KB README.md 19KB 5.3 Topic Model HillaryEmails.csv 24.43MB HillaryEmail.ipynb 17KB README.md 20KB 3.3 XGBoost 3.3 XGBoost.md 11KB pima-indians-diabetes.csv 23KB 3.3 XGBoost.ipynb 2KB README.md 11KB 数据说明.txt 357B 9. KNN handwritingClass 
trainingDigits.zip 500KB testDigits.zip 236KB README.md 5KB handwritingClass.py 11KB README.md 26KB 7. Clustering corpus_train.txt 230KB README.md 15KB GMM.ipynb 12KB K-Means.ipynb 28KB README.md 4KB 3.2 GBDT train_feat.txt 445B README.md 9KB GBDT_demo.ipynb 11KB 3.2 GBDT.md 9KB test_feat.txt 445B 3.4 LightGBM 3.4 LightGBM.ipynb 4KB README.md 8KB 3.4 LightGBM.md 8KB 8. ML特征工程和优化方法 README.md 30KB 2.Logistics Regression README.md 9KB demo KaggleCredit2.csv.zip 1.97MB README.md 224B CreditScoring.ipynb 15KB 2.Logistics Regression.md 9KB 4. SVM 4. SVM.md 18KB README.md 18KB news classification svm_classification.ipynb 17KB README.md 3KB README.md 7KB资源评论
