PTA & Daily exercise
#1_jsonsort
Using json packet to decode json files and do some basic statistics.
#2_cos distance
Using Gensim and pre-trained word2vec model (GoogleNews-vectors-negative300.bin) to calculate the cosine distance between the vectors.
#3_passage cos distance
Using Gensim and pre-trained word2vec model (GoogleNews-vectors-negative300.bin) to calculate the cosine distance between two passages.
Also, with the help of Alir3z4/stop-words to do data pre-processing (Link: https://github.com/Alir3z4/stop-words).
#4_MLPtrain with packaged dataset
Using sklearn to train a MLPClassifer based on neural network with original packaged datasets.
#5_MLPtrain with own dataset
Using sklearn to train a MLPClassifer based on neural network with my own datasets.
#6_MLP predict
Using trained MLPClassifer to predict model & calculate the value of accuracy of the test category and predicted category.