How to understand machine learning in python?

Question

Python

Greetings.
I want to try machine learning - where do I start?
Preferably in python and preferably for text analysis)
Maybe there are some books on this topic or where is it better to look right away?

Answer 1

In short:
1. db corpus of texts with labels (for example, positive tweet, negative tweet)
2. Remove punctuation marks
3. Remove stop words (prepositions, etc. that have no semantic load)
4. Do stemming
5. From each tweet you make a set of n-grams
6. From n-grams you make a TF-IDF dictionary
7. You split the resulting dictionary into data for training and data for tests
8. You put all this into your favorite algorithm for ML, for example, like this:

clf = RandomForestClassifier(n_jobs=-1)
clf.fit(X_train, y_train)

9. Save the resulting model as a pickle and then use it for texts that need to be classified.
predict = clf.predict(tfidf_predict.toarray())