We covered RNN for MNIST data, and it is actually even more suitable for NLP projects. You can find more details on Valentino Zocca, Gianmario Spacagna, Daniel Slater’s book Python Deep Learning.
We use the data from sklearn library, and the IDE is sublime text3. Most of the code comes from the book: https://www.goodreads.com/book/show/32439431-introduction-to-machine-learning-with-python?from_search=true
SMS, or Short Message Service, always contains fraud messages from God-knows-where. With Naive Bayes we can build a classifier to predict the message to be a spam or not, based on NLP(nature language processing). data: http://www.dt.fee.unicamp.br/~tiago/smsspamcollection The above step is EXTREMELY important for MAC users! HAM|SPAM
Write a conditional function that takes a square character matrix and checks if any of the character strings on the diagonal (top left to bottom right) begin with the letter g, lowercase or uppercase. If satisfied, these specific entries should be overwritten with the string "HERE". Otherwise, the entire matrix should be replaced with an identity matrix of the… Continue reading A Classic Model of For-Loop with Jump-out If/Else in R