Priyanshu Upadhyay (Priyanshu-U)

Priyanshu-U

User data from Github https://github.com/Priyanshu-U

Company:IIIT Lucknow

Location:Bengaluru

GitHub:@Priyanshu-U

Twitter:@Priyanshu__U

Priyanshu Upadhyay's repositories

100-Days-of-Python

100 Days of Python Repository, All exercises and projects

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Breast-Cancer-Prediction-Logistic_Regression

This particular ML Model aims at being able to predict, based on fine needle aspiration biopsy results, if a tumor is benign or malignant. Using the Logistical Regression statistical model.

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communIIITy

GAUS' team submission for Hack-o-fiesta 2.0, part of Equinox 2021, IIITL's techfest. A decentralized question answer forum, primarily exclusive and customized for individual institutes, like our college, IIIT Lucknow, but with ability to share highest upvoted questions/answers across institutes

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DevOps_Attendance_Dashboard

The DevOps Course Attendance Dashboard is a Streamlit-based tool that provides insights into attendance for a DevOps course. It segments students based on a 75% minimum attendance criterion, helping instructors track attendance trends and identify students requiring support. Feel free to adjust the wording as needed.

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Diabetes-Prediction-SVM

Diabetes Prediction model using Support Vector Machine, Linear kernel

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ICC-2023

This repository contains my team's submissions for the prestigious ICC - Indian Case Challenge 2023, where we achieved an impressive rank of 9 globally. Explore our innovative solutions and strategies in this exciting competition that tested our problem-solving and analytical skills to the fullest.

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Leetcode-Submissions

A repository to store my Leetcode submissions

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Matplotlib-Cheatsheet

MatplotLib Exemplar Notebook for Data Visualization

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Option-Chain-Analyser

Python Script to scrape and analyse Option Chain data

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RM-Logistic-Regression

Logistic-Regression predictive model used to differentiate between a rock and a mine based on sonar data (60 characteristics)

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Seaborn-Cheatsheet

Seaborn Exemplar Notebook for Data Visualization

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TechDesk

Developed A LLM Powered Recommendation System, Based on Instructor-XL, Google Flan / GPT3.5 and FAISS. Conducted a consumer survey to understand the problems of a consumer, created the problem statement from the insights derived from the survey.

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TraAlgo

Leverages Flask and Python to create robust data pipelines for seamless data collection, preprocessing, and technical analysis, providing actionable insights for informed decision-making.

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