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Name: Pepper
Type: User
Name: Pepper
Type: User
All the projects completed while perusing PG Diploma in Machine Learning and AI from IIIT-B
In this segment, you will use the IMDB movie reviews dataset to classify reviews as 'positive' or 'negative'. We have divided the data into training and test sets. The training set contains 800 positive and 800 negative movie reviews whereas the test set contains 200 positive and 200 negative movie reviews.This was one of the first widely-available sentiment analysis datasets compiled by Pang and Lee's. The data was first collected in 2002, however, the text is similar to movies reviews you find on IMDB today. The dataset is in a CSV format. It has two categories: Pos (reviews that express a positive or favourable sentiment) and Neg (reviews that express a negative or unfavourable sentiment). For this exercise, we will assume that all reviews are either positive or negative; there are no neutral reviews. You will need to build a Multinomial Naive Bayes classification model in Python for solving the questions.
Material for posts
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.