Guvi Vanilla HTML CSS Clone

Day-26 Task ( React ) - GUVI-Blog ( Clone )

Build a machine learning model to predict weekly sales with 97.4% accuracy. Integrated Exploratory Data Analysis tools to analyze trends, patterns, and actionable insights. The solution enables detailed sales comparisons, evaluates feature impacts and ranges, and identifies top performers, greatly enhancing decision-making in the retail industries.

Unleash the power of AI in your terminal with Clara ! 🌟 Revolutionising script automation with GPT-3.5 (and soon, GUVI-GPT & Llama2), this tool is a game-changer for developers who crave efficiency with a dash of fun. Whether you're coding in Python 🐍, planning for Go, or scripting in JavaScript, let AI do the heavy lifting.

This web application was created according to the software requirements given in the Problem Statement on GUVI - Intern for web developer role.

This is MySQL Day2 Task in Roadmap Session

Here, I Understand how React Router works to manage navigation within a React application

MySQL TASK

Collecting YouTube data using google API and storing the data in MongoDB(NoSQL) and Migrating the stored data from MongoDB into SQL and creating a user friendly Streamlit web app for the visualization and to get a better understanding of the YouTube channels and video details. All with the help of Python and Python libraries.

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

Traveling Landing page

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.

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.

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. In this repository you can find the python programs which is related to arrays.

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.

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

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

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