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Name: Rohit Rajendra Gaikwad
Type: User
Bio: Data enthusiast on a mission to uncover insights and tell compelling stories through numbers. #Python, #MySQL, #ML, #PowerBI #Deep Learning, #NLP, #Tableau.
Name: Rohit Rajendra Gaikwad
Type: User
Bio: Data enthusiast on a mission to uncover insights and tell compelling stories through numbers. #Python, #MySQL, #ML, #PowerBI #Deep Learning, #NLP, #Tableau.
This is a sentiment analysis project based on pretrained modules like TextBlob and VADER on Amazon_Food_Reviews dataset.
This is a car purchase decision data set, indicating wheather or not a client bought a car.
In this project we have used data from E commerce website to seggregate customers based on their interest.
This dataset include data for the estimation of obesity levels in individuals from the countries of Mexico, Peru and Colombia, based on their eating habits and physical condition. The data contains 17 attributes and 2111 records.
Masks can help reduce the spread of respiratory illnesses, such as COVID-19. . In this project Deep Learning is used along with OpenCV for Detecting Faces With and Without mask.
In this project Decision Tree and some other machine learning algorithms are used for heart disease prediction.
The aim of this projct is to predict Insurance charges of beneficiary based on Independant variables like age, bmi, smoker, sex, region, children etc. This dataset includes total 7 variables and 1338 rows.
In this Machine Learning project Rented Bike Count is predicted based on different Independent features using regression models like Linear Regression, KNN, SVR, DT, RF and XGBRegressor. Time series model SARIMAX is also used to predict dependent variable.
Aim of this project is to predict taxi fare based on available data. This dataset contains total 8 variables and 50000 indexes.
This data set contains ratings from Google reviews. Reviews on attractions from 24 categories across Europe are considered. Using this data clustering model is built.
This dataset contains 30 categorical variables and 26707 records used to predict how likely the respondent will take flu vaccine.
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.