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moto13's Projects

1book icon 1book

《Web安全之机器学习入门》

analysis-of-political-sentiments-on-twitter-using-deep-learning icon analysis-of-political-sentiments-on-twitter-using-deep-learning

Aim was to develop a machine learning model which can analyze sentiments on twitter and to predict the winner of Lok Sabha Elections 2019. Web scraping was used for comments and then applied feature extraction, TF-IDF, Word2Vec, ANN and LSTM to improve the accuracy of model. Softmax function was used for multiclass classification. Learning curve was used to select the epochs and batch size in ANN and LSTM. Word cloud was made to select the most important features in the dataset. Random forest classification was selected as the best classifier with the help of PR curve by using micro average for average precision and recall.

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

dbn icon dbn

Simple code tutorial for deep belief network (DBN)

deep-belief-network icon deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

deepdga icon deepdga

Implementation of 《DeepDGA: Adversarially-Tuned Domain Generation and Detection》 arXiv:1610.01969

dga icon dga

The repository that contains the algorithms for generating domain names, dictionaries of malicious domain names. Developed to research the possibility of applying machine learning and neural networks to detect and classify malicious domains.

fanci icon fanci

FANCI is a prototype implementation of a machine learning based classification engine for non-existent domains to detect domain gernation algorithm malware traffic.

leetcodetop icon leetcodetop

汇总各大互联网公司容易考察的高频leetcode题🔥

lstm-mi icon lstm-mi

A LSTM based framework for handling multiclass imbalance in DGA botnet detection

machine-learning-on-uci-datasets icon machine-learning-on-uci-datasets

Classification, Regression, Time-Series Classification, Semi-supervised, Supervised, Active and Passive Learning, Multiclass and Multilabel SVM, LSTM and CNN

models icon models

Models and examples built with TensorFlow

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