mitushiananya Goto Github PK
Name: Mitushi Ananya
Type: User
Bio: If we had facts, we wouldn’t need stats.
Location: India
Name: Mitushi Ananya
Type: User
Bio: If we had facts, we wouldn’t need stats.
Location: India
Data Analysis and visualisation of the bestseller books in Amazon.
Using OpenCV API of Python, developed a model which can detect colours in an image by double-clicking. In addition to showing the colour name, the model will also show RGB values since these are the primary colours.
Analysis of music preferences and the characteristics of music in Spotify.
Retrieved data of a YouTube channel using YouTube Data API v3 and performed data analysis on the extracted data. Information retrieved includes uploaded videos details, most liked video, most disliked video etc.
Studying the International Debt Statistics (IDS) database using the World Bank API.
With the help of BeautifulSoup, first web scrape the lyrics and save the details of the songs/lyrics into a csv file. Then, perform Text and Sentiment Analysis on the extracted data.
Web scraped NBA data, performed data analysis on Stephen Curry's data, performed data analysis of NBA games (2004 to 2020), height and weight analysis of NBA players and created simple shot charts of different NBA players.
A tidy unified interface to models
Making use of OpenCV, I will carry out a Canny Detection which is used in lane detection, sketching, border removal etc.
Extracting positive and negative sentiments using tidytext package (for text analysis), janeaustenr package (for the dataset) and visualising the data using ggplot and wordcloud
In this project, you can find out the data analysis of your Spotify data. In addition to this, you can also find out the data on your favourite artist.
Analysis of technology stocks (Amazon, Tesla, Google, Apple, Facebook) using R programming. Predicting the stock prices four years down the line.
Survival Analysis and Visualization
Simple text mining using R programming. We will take a text file and then we will perform cleaning and simple analysis on it. We will then represent the data using wordclouds.
Developed a machine learning model on the famous Titanic dataset. It provides information on the survival rate of passengers on the Titanic, determined by economic status, sex, age and survival using Python (Pandas, SciKit, Seaborn). The model is used to predict whether a passenger on the Titanic would have survived or not.
Implementation of trading strategy by comparing different machine learning algorithms' accuracies.
Extracting and cleaning tweets with the hashtag covid-19 from Twitter. Performing sentiment analysis on these extracted tweets and visualising the same with the help of bar plot and wordcloud.
Web Scraping Google, Amazon, Basketball-Reference site and latest NBA data using Python.
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.