Skip to content

Niklesh99/Sentiment-Stock-Analysis-Prediction-using-RandomForestClassifier-and-MultinominalNB

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Sentiment-Stock-Analysis-Prediction-using-RandomForestClassifier-and-MultinominalNB

This is a Machine Learning Project to create a Model which accepts stock news headlines as input and predict the output whether the stock price will increase or not. In this Project, the model uses CountVectorizer and Tfidfvectorizer to convert features into numerical data and uses RandomForestClassifier to train and Predict data. I also uses Multinominal-naive Bayes to predict the output.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published