Coder Social home page Coder Social logo
K Bhavani Venkata Karthik photo

kbvkarthik Goto Github PK

followers: 2.0 following: 3.0 repos: 61.0 gists: 0.0

Name: K Bhavani Venkata Karthik

Type: User

Company: Madras Institute of Technology

Bio: A dedicated and dynamic personality who brings a diverse set of tools to the table. Passionate, hardworking and inquisitive.

Location: Chennai

Hi there! 👋 I'm K Bhavani Venkata Karthik

I am an adaptive full-stack dev, adept at quick problem-solving & rapid tech assimilation. Balanced college and high CGPA, fueled by a passion for the craft.

🌱 I have been working in the fintech and edtech industry for a total of 4 years and 10 month empowering startups !!

📫 Connect with Me

Curious or have an opportunity in mind? Contact me!

Linkedin Badge  

🚀 Quick Stats

Your Contributions   Your GitHub Stats
Top Langs

🛠️ Skills/Tech Stack

JavaScript  TypeScript  Python  Java  C  C++  C#  Express.js  Adonis.js  Node.js  React.js  Angular.js  ApexCharts.js  Vue.js  Next.js  Django  GCP  AWS  Azure  IBM Cloud  REST API  Swagger  Postman  Algorand  Hyperledger  TensorFlow  Keras 

K Bhavani Venkata Karthik's Projects

non-linear-regression-analysis icon non-linear-regression-analysis

If the data shows a curvy trend, then linear regression will not produce very accurate results when compared to a non-linear regression because, as the name implies, linear regression presumes that the data is linear. Let's learn about non linear regressions and apply an example on python. In this notebook, we fit a non-linear model to the datapoints corrensponding to China's GDP from 1960 to 2014.

practice-repo icon practice-repo

A repository of all the coding questions I practiced for growth.

simple-linear-regression icon simple-linear-regression

In this notebook, we learn how to use scikit-learn to implement simple linear regression. We download a dataset that is related to fuel consumption and Carbon dioxide emission of cars. Then, we split our data into training and test sets, create a model using training set, evaluate your model using test set, and finally use model to predict unknown value.

spam-mail-binary-logistic-regression icon spam-mail-binary-logistic-regression

Email spam has become a pervasive issue in today's digital world, cluttering inboxes and compromising the security of users. To combat this problem, this repository implements a binary logistic regression model specifically designed to classify emails as either spam or legitimate.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.