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TulasiNND's Projects

industrial-copper-modeling-project icon industrial-copper-modeling-project

The copper industry faces challenges in predicting selling prices and lead classification. However, by utilizing advanced techniques such as data normalization, outlier detection and handling, and using tree-based models such as the decision tree algorithm, we can provide accurate predictions and optimize pricing decisions and leads classification

numpy_basic_functions icon numpy_basic_functions

It consists of Basic to Advanced level Numpy Questions, that covers all the important methods in numpy

phonepe-pulse-data-2018-2022-analysis icon phonepe-pulse-data-2018-2022-analysis

I have created a dashboard to visualize Phonepe pulse Github repository data(https://github.com/PhonePe/pulse) using Streamlit and Plotly in Python. The Link for Dashboard: https://tulasinnd-phonepe-pulse-data-2018-2022-phonepe-dashboard-2drsrt.streamlit.app/

population-prediction-system icon population-prediction-system

Population Prediction System will predict the population of any country in the world for a given year. The Basic inputs of the system are Country name and Year. I have used Polynomial regression Algorithm to build this model

predict-your-body-weight-category-with-dl icon predict-your-body-weight-category-with-dl

Predict-Your-Body-Weight-Category-with-DL is an application that uses Artificial Neural Networks (ANNs) to predict the weight category of an individual based on their age, height, weight, lifestyle, and habits.

social-metric-insight-projects icon social-metric-insight-projects

This repository features a range of projects related to social media. The first project, 'Twitter Sentiment Analysis', 'Ratings of Guvi Courses' and Instagram Influences, to know more go through readme file and repository

text-extraction-from-business-card-using-ocr icon text-extraction-from-business-card-using-ocr

This code is an OCR application that extracts text from images uploaded by users, using the EasyOCR library. The extracted text is then processed to extract information such as email, phone number, pin code, address, and website URL, and displayed on a Streamlit web app interface.

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