Pinned Repositories
calculator_gui
simple calculator GUI using tkinter.
CodeSleepRepeat
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub]
Covid19data
fetch the current corona virus stats using web scraping
cv
house_price_prediction
Predicting house prices using Linear Regression and Random Forest Regression on the basis of given features.
JavaDesignPatterns
Hands-on for java design patterns
KeepNotes
Created with CodeSandbox
LeetHub
Automatically sync your leetcode solutions to your github account - top 5 trending GitHub repository
nvm
Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions
priyanshunegi17's Repositories
priyanshunegi17/calculator_gui
simple calculator GUI using tkinter.
priyanshunegi17/CodeSleepRepeat
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub]
priyanshunegi17/Covid19data
fetch the current corona virus stats using web scraping
priyanshunegi17/cv
priyanshunegi17/house_price_prediction
Predicting house prices using Linear Regression and Random Forest Regression on the basis of given features.
priyanshunegi17/JavaDesignPatterns
Hands-on for java design patterns
priyanshunegi17/KeepNotes
Created with CodeSandbox
priyanshunegi17/LeetHub
Automatically sync your leetcode solutions to your github account - top 5 trending GitHub repository
priyanshunegi17/nvm
Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions
priyanshunegi17/priyanshunegi17.github.io
priyanshunegi17/Secrets
priyanshunegi17/Sentiment-Analysis-of-Text-Data-Tweets-
This project addresses the problem of sentiment analysis on Twitter. The goal of this project was to predict sentiment for the given Twitter post using Python. Sentiment analysis can predict many different emotions attached to the text, but in this report, only 3 major were considered: positive, negative and neutral. The training dataset was small (just over 5900 examples) and the data within it was highly skewed, which greatly impacted on the difficulty of building a good classifier. After creating a lot of custom features, utilizing bag-of-words representations and applying the Extreme Gradient Boosting algorithm, the classification accuracy at the level of 58% was achieved. Analysing the public sentiment as firms trying to find out the response of their products in the market, predicting political elections and predicting socioeconomic phenomena like the stock exchange.
priyanshunegi17/SentimentAnalysis
sentiment analysis of twitter data using neuro fuzzy approch
priyanshunegi17/Story
My masterpiece.
priyanshunegi17/todolist
priyanshunegi17/todometer
A meter-based to-do list
priyanshunegi17/twitter-sentiment-analysis-1
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
priyanshunegi17/weather