Guvi challenges

a project

My Personal Submissions for a Code Kata

It contains programs of beginner level of guvi.in

codes of guvi

A page or two done for the interview selection. Built with react and material-UI.

Guvi (www.guvi.in) codekata solutions in python3

a summarisation of programms i made as part of assignments while completing my course on python from guvi

Solutions to the questions of GUVI codekata's platform that I have solved. This repo is updated daily as I am solving questions on a daily basis

Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs

This repository is related to pandas library. in this you can find around 60 questions with answers.

In this repository you can find the examples of Logistic Regression , K-NN, Decision Tree, Random Forest algorithms.

This project aims to predict customer conversion for an insurance company. Using historical data, we will develop a machine learning model that can identify which customers are most likely to purchase a policy. By understanding the patterns and behaviors of previous customers, the model can make predictions and provide valuable insight to company.

Codekatas typically involve writing code to solve a specific problem, and the goal is to write efficient, working code that meets the requirements of the problem statement. In this repository you can find the python programs which is related to arrays.

Questions at https://www.guvi.in/code-kata

Codekatas typically involve writing code to solve a specific problem, and the goal is to write efficient, working code that meets the requirements of the problem statement.

Codekatas typically involve writing code to solve a specific problem, and the goal is to write efficient, working code that meets the requirements of the problem statement. In this repository you can find the python programs which is related to arrays.

Traveling Landing page

Collection of DSA questions from competitive coding websites and simple and basic data structures to ace the coding interview!