Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs
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Updated
Sep 6, 2022 - Jupyter Notebook
Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs
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.
Guvi (www.guvi.in) codekata solutions in python3
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.
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.
This web application was created according to the software requirements given in the Problem Statement on GUVI - Intern for web developer role.
Day-26 Task ( React ) - GUVI-Blog ( Clone )
Here, I Understand how React Router works to manage navigation within a React application
This repository is related to pandas library. in this you can find around 60 questions with answers.
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.
A page or two done for the interview selection. Built with react and material-UI.
a summarisation of programms i made as part of assignments while completing my course on python from guvi
In this repository you can find the examples of Logistic Regression , K-NN, Decision Tree, Random Forest algorithms.
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