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Name: Vikas Bhat
Type: User
Bio: Data Science enthusiast.
Location: Bangalore, Karnataka
Name: Vikas Bhat
Type: User
Bio: Data Science enthusiast.
Location: Bangalore, Karnataka
:memo: An awesome Data Science repository to learn and apply for real world problems.
Breast cancer classification project using SVC machine learning algorithm. Classifying the cancer cells based on the structural properties of the cell as malignant or benign.
This project focuses on predicting the price of old cars using various selling features like Transmission type, fuel type, Owner built on Random Forest Regression model.
This is a mini project on the credit card fraud detection in collaboration with Technocolabs.
To build a classification methodology to determine whether a person defaults the credit card payment for the next month.
Collection of all the assignments.
An analysis on 'Heart disease diagnosis' based on real world data using multiple analytical tools like Tableau, Power BI and Python.
Collection of all the modules Q's for the FSDS course.
Ineuron PPT Assignments solutions.
An Implementation of Machine Learning In Retail Business.
Welcome to my Pizza Sales Analytics Dashboard project! 🍕
This is a content based movie recommendation engine.
In this project, we aim to optimize the performance of retail chain stores by establishing control stores based on their performance compared to selected trial stores. By leveraging data analytics and strategic insights, we seek to enhance sales revenue and drive growth within the retail chain.
This repository contains my portfolio of investment and finance-related data science projects. These projects are written and presented as Jupyter Notebooks (Python 3), and each link is followed by a short description of project goals, contributions, and dependencies used.
This project focuses on predicting the salary based on the Job type , education and other features using the machine learning algorithms.
A Tableau dashboard project providing comprehensive insights into soft drink sales trends, allowing for detailed analysis and informed decision-making within the beverage industry.
Welcome to the Bank Loan Data Analysis project repository. This project explores a dataset related to bank loans, aiming to derive insights and make data-driven decisions.
This is a capstone project. The project focuses on finding the attrition rate of a student admission for a university.
Tableau data visualization dashboards. Created using tableau public app.
This project is on predicting the customer churn rate of a telecom company.
This project is a web application that converts text input into speech, providing a convenient and accessible way to transform written content into spoken words. Users can enter text in the provided textarea, click the "Predict" button, and instantly hear the generated speech. The app utilizes Flask for the backend.
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.