Pinned Repositories
Airlines-Data-Analysis-Using-SQL
This project analyzes airline's data to improve seat occupancy rates and profitability in the face of stricter environmental regulations, higher taxes, rising fuel prices, and increased labor costs. Using Python, SQL, and data visualization, it identifies trends and provides insights for strategic decision-making.
Animation_JS
In this, I will make a animation using JavaScript.
Black-Friday-Analysis
Explore our project where we analyze data based on gender, location, marital status, and purchases. We've cleaned and examined the data to uncover interesting insights. Join us in discovering what the numbers reveal
Contra-Game-Using-JS
Doodle-Jump-Using-JavaScript
EDA-on-Heart-Disease-Data
EDA_on_SugarCane_Production_Data
PUBG-Game-Winning-Prediction-ML-model
This project utilizes machine learning and data analysis techniques to analyze game data and provide insights into various aspects of the game. Additionally, it predicts the winner of the game based on the provided dataset.
Spell-Checking-Project-using-NLP
Spell Checking Project is a tool that helps to find correct spelling of given words using NLP concept.
wikipedia-scraper
The Wikipedia Scraper is a user-friendly tool built with Streamlit, allowing quick access to Wikipedia articles on various topics. Using BeautifulSoup and Requests, it efficiently extracts text and images from Wikipedia pages.
MadhurGoel8864's Repositories
MadhurGoel8864/Doodle-Jump-Using-JavaScript
MadhurGoel8864/Airlines-Data-Analysis-Using-SQL
This project analyzes airline's data to improve seat occupancy rates and profitability in the face of stricter environmental regulations, higher taxes, rising fuel prices, and increased labor costs. Using Python, SQL, and data visualization, it identifies trends and provides insights for strategic decision-making.
MadhurGoel8864/Animation_JS
In this, I will make a animation using JavaScript.
MadhurGoel8864/Black-Friday-Analysis
Explore our project where we analyze data based on gender, location, marital status, and purchases. We've cleaned and examined the data to uncover interesting insights. Join us in discovering what the numbers reveal
MadhurGoel8864/Contra-Game-Using-JS
MadhurGoel8864/EDA-on-Heart-Disease-Data
MadhurGoel8864/EDA_on_SugarCane_Production_Data
MadhurGoel8864/PUBG-Game-Winning-Prediction-ML-model
This project utilizes machine learning and data analysis techniques to analyze game data and provide insights into various aspects of the game. Additionally, it predicts the winner of the game based on the provided dataset.
MadhurGoel8864/Spell-Checking-Project-using-NLP
Spell Checking Project is a tool that helps to find correct spelling of given words using NLP concept.
MadhurGoel8864/wikipedia-scraper
The Wikipedia Scraper is a user-friendly tool built with Streamlit, allowing quick access to Wikipedia articles on various topics. Using BeautifulSoup and Requests, it efficiently extracts text and images from Wikipedia pages.
MadhurGoel8864/Feature-Selection-In-Data-Science
MadhurGoel8864/InternFactory-Company-Side
MadhurGoel8864/InternFactory-User
MadhurGoel8864/Linear-Regression-Model
MadhurGoel8864/mad-trial
MadhurGoel8864/MadhurGoel8864
MadhurGoel8864/Movie-Recommendation-System-Using-ML
It is a movie recommendation system driven by Machine Learning, incorporating genres, keywords, cast, crew, and plot summaries to deliver tailored movie suggestions. By harnessing the power of comprehensive data analysis, it provides personalized recommendations that resonate with users' unique preferences.
MadhurGoel8864/Multiple-Linear-Regression-Machine-Learning-Model
MadhurGoel8864/Multiple-Linear-Regression-Model-with-OLS-summary-analysis
MadhurGoel8864/Portfolio
Portfolio
MadhurGoel8864/Restaurant-Chatbot
MadhurGoel8864/SignIn-Sign-Up-pages
MadhurGoel8864/Snap-Crawler
MadhurGoel8864/Titanic---Machine-Learning-from-Disaster
It is a data analysis and machine learning project on Kaggle Competition Titanic - Machine Learning from Disaster
MadhurGoel8864/Twitter-Data-Sentimental-Analysis
This project focuses on sentiment analysis of Twitter data using machine learning techniques. Sentiment analysis is the process of determining the sentiment expressed in a piece of text, which in this case, is Twitter tweets. The model is trained to classify tweets into two categories: positive and negative, based on the sentiment of the text.
MadhurGoel8864/URL-shortner-using-streamlit
A small streamlit project that helps user to shortens the URLS and copy them.
MadhurGoel8864/Youtube-Channel-Data-Scrapper
Youtube Channel Data Scrapper is a tool that can be used to find details like video title, views count, likes, description, etc using Selenium and Chrome WebDriver