دسته بندی داده
شش سال پیش منتشر شده
تعداد بازدید: 220
کد پروژه: 175125
شرح پروژه
I want python code to import data for.Machine Learning by read data from ecxel or csv or tutor matlab file or downloading from internet machine learning sites. After, anomally detection the project must filling the missing values with selecting the method from.various methods, after cleaning and smoothing outliers , option if i want to normalize or take the long of dataset. After data preprocessing dataset must be run using cross validation and 12 classification algorithms as MLP, SVM, Random forests, KNN, HMM, regression algorithms, genetic algorithms, fuzzy algorithms, ensemble algorithms and clustering algorithms. After the classification or regression or clustering the project must export many metrics in a Microsolft Word table. Metrics like accuracy, precision, ROC, k statistics MCC, TPR, FPR, TNR, FPR TP TN FP F N , confusion matrix, and some.others that I ll tell you if we make agreement. All.the above dor 2 or more classes.
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