PRASHANTH K's repositories
PHONEPE-PULSE-DATA-VISUALIZATION-AND-EXPLORATION-PROJECT
PhonePe, founded in 2015. PhonePe Pulse is a multifaceted project by PhonePe, the leading Indian digital payments platform, that delves into the fascinating world of India's digital payment landscape. It encompasses various elements, offering valuable insights and understanding to a diverse audience.
Absolute_Beginners_For_PYTHON
In this Repository, we have all the basics of Python to start the carrier for Absolute Beginners
Airbnb_Analysis-Project
Explore the Airbnb lodge landscape through our Power BI analysis, revealing trends, pricing insights, and guest preferences. Gain actionable insights for hosts and travelers, shaping a distinctive and satisfying lodge experience. Dive deep into the world of lodges with our concise and informative data exploration.
BizCardX-Extracting-Business-Card-Data-with-OCR-Project
This Project is to develop a Streamlit application that enables users to upload a business card image and extract essential information from it using easyOCR. The extracted information includes the company name, card holder namebjective of, designation, mobile number, email address, website URL, area, city, state, and pin code. #GUI
Industrial_Copper_Modelling-Project
Explore the fascinating world of the copper industry with our "Industry Copper Modelling" repository. This project delves into the intricate dynamics of copper production, consumption, and market trends through advanced data analysis and modeling techniques.
ML_DATASETS
In this repository, I gave a drive link.On this drive, we have all the ML datasets. read and select the datasets and use them for specific algorithms. Follow this drive and I will keep you updated on how I intend to use it.
Prashanth292003
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PYTHON_BASICS
In this Repository, we have all the basics of Python to start the carrier.
Resale_Price_Prediction_for_Singapore-Flat
This repository focuses on developing a machine learning model and deploying a user-friendly web application to predict resale prices of flats in Singapore. Utilizing historical resale data, the goal is to create a robust model providing valuable insights for potential buyers and sellers in estimating flat resale values.
YOUTUBE-DATA-HARVESTING-AND-WAREHOUSEING-PROJECT
This YouTube data project aims to extract valuable insights by delving into audience preferences in diverse areas such as gaming, educational trends, and political sentiment. Harnessing the vast YouTube data pool, it uncovers nuanced patterns and trends for a deeper understanding of these specific domains.