This repository contains a Python implementation of the False Position Method, also known as the Regula Falsi Method, for finding roots of nonlinear equations. Additionally, the script compares the performance of the False Position Method with the Bisection Method, saving results in an Excel file (`LAB2.xls`).

HII I am Pranjal Kalekar!! This repo contains a completed task provided by The Sparks Foundation to me under Graduate Rotational Internship Program This is 1st task under Data Science & Business Analytics Tasks.

This is my personal repository!

Unit 11 Homework 8 ML part 2_ Internal files and Inputs etc

In this project, I wrote Python codes to develop simple item receipt by making multiple functions to ask users to select items and pay for the items. The items that I came up with are baby products.

Blockchain Building Blocks HW 12 Inputs - Unit 18

Deep Learning Inputs & Internal Mtls Unit 14 for HW #11

This repository contains a Python implementation of the Bisection Method for finding roots of nonlinear equations. The code includes input validation, iteration, and termination based on the desired error or reaching the maximum number of iterations. Results are saved into an Excel file.

MapReduce Program Codes in Python Spyder

Python scripts for approximating the solutions to different functions.

This is an implementation of boundary fill algorithm using Python. It can generate any polygon or circle of custom user given specifications and will colour the figure starting from a user provided point with a user defined colour.

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

Internal working space for process etc.. not submitted with assignment

Homework 7 Unit 10 Inputs Time Series Machine Learning

An experiment to explore expertise in colour identification.

Review from Sllvn textbook

In the first function, the computer generates a random integer and the user tries to guess it right. In the second function, the user provides a number and the computer tries to guess it correctly.

Working_with_data_found_in_the_raster_format

This projects gives school dropout rate according to their various attribute rate like no. of school corresponding to have clean water drinking facility, rate of school teacher facility etc . We had make a webapp using flask for our dropout rate prediction system. Various correlaion technique we have use for the maharashtra school dropout rate d…