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twitter-sentiment-analysis

Predict positive and negative tweets of twitter

twitter_scraping_using_snscrape_and_sentiment-analysis_demo

This is a project where we scrape data or tweets from Twitter using a Python Library known as Snscrape.

twitter_sentiment_analysis

This project aims to classify the sentiment of tweets on nuclear energy as positive, negative or neutral and extract insight for messaging.

twitter_sentiment_analysis_part1

data preparation

twitterscraper

Repository containing all files relevant to my basic and advanced tweet scraping articles.

ud120-projects

UDACITY DA ND Start Code for Machine Learning

udacity

UDACITY Courses

ugis22.github.io

Personal Website

upgraded-octo-invention

usa-election-sentiment-analysis

The US Presidential Elections are scheduled to be held on the 3rd of November and with less than a week left, this was a good time to understand the public mood and opinion in different US states towards the candidates-Republican current president Donald Trump and Democratic challenger Joe Biden.For this analysis, I have collected tweets made over the last week using Twitter’s publicly available API and performed sentiment analysis of those tweets using VADER Sentiment Analysis.

videocourse-dataanalysispython

Companion code for my video course on Data Analysis with Python, published by PacktPub

videocourse-datasciencerecipes

Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing

vinaysomawat.github.io

Portfolio webpage to showcase description of word experiences, educations, projects with demo images and reference links, programming profiles across all platforms and mooc/award certificates.

web-scrapper-facebook-photos

Object Oriented Approach to Scrapping Web (Using Beautiful Soup)

web-scrapping

web_scraping_with_python

webscrapingfacebook

Download all your personal images + tagged images from Facebook with Selenium

whatsapp-chatbot

whatsapp-google-sheets-bot-en

whatsapp-history-export-excel

whatsoup

A web scraper that exports your entire WhatsApp chat history.

zomato-ratings-prediction-flask-deployment

Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analysis(EDA) on the Zomato Dataset. Build an appropriate Machine Learning Model that will help various Zomato Restaurants to predict their respective Ratings based on certain features DEPLOY the Machine learning model via Flask that can be used to make live predictions of restaurants ratings A step by step guide is attached to this documnet as well as a video explanation of each concpet.

zomato_ratings_predictions

The basic idea of analyzing the Zomato dataset is to get a fair idea about the factors affecting the establishment of different types of the restaurant at different places in Bengaluru, aggregate rating of each restaurant, Bengaluru being one such city has more than 12,000 restaurants with restaurants serving dishes from all over the world. With each day new restaurants opening the industry hasn't been saturated yet and the demand is increasing day by day. In spite of increasing demand it, however, has become difficult for new restaurants to compete with established restaurants. Most of them serve the same food. Bengaluru is the IT capital of India. Most of the people here are dependent mainly on the restaurant food as they don’t have time to cook for themselves.