The repository presents a comprehensive project that leverages relevant features to accurately predict the price of Houses.
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Updated
Jun 11, 2024 - HTML
The repository presents a comprehensive project that leverages relevant features to accurately predict the price of Houses.
Crowdfunding Data Analysis
Fundamentals of Biometric Systems Design Assignments
🦊 Kitsu seasonal anime trends
Bayesian Modeling and Probabilistic Programming in Python
Tool to obtain information from Wattpad and meet users with the same tastes and who are accessible to interact with them.
wnarifin.github.io hosts my lectures, files and R codes.
PyAutoFit: Classy Probabilistic Programming
This repository contains a companion guide to Harvey Motulsky's Intuitive Biostatistics, 4th edition. The guide is designed to enhance understanding of the concepts explained in the book by providing practical examples and additional studies in a Jupyter-book format. (work in progress)
This repo contains the skills sets required for a person who wants to be in the data scinece field. It conytains all the concepts materials and the some worksheets which i've worked on during practice time
This repository provides MATLAB implementations of plfit and plpva functions for fitting power-law distributions to empirical data using maximum likelihood estimation (MLE) and statistical goodness-of-fit tests. These tools accurately model complex systems with significant tail behaviors, common in fields like physics, biology, and economics.
Repository for my data science projects (Web scraping and automation + exploratory data analysis + machine learning + recommendation system)
calculates monthly interest rates for a data scientist's income over 7 months using different APRs. Findings include average and mean APR, income before and after interest, and visualizations of income and interest rates. Ideal for financial analysis enthusiasts, it offers insights into income variations and interest impacts."
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
My Scientific Research Code Repository.
End-To-End Machine Learning Project for Automatic Grades for Student Essays
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
GUNDAM, for Generalized and Unified Neutrino Data Analysis Methods, is a suite of applications which aims at performing various statistical analysis with different purposes and setups.
Performing multisite regionalization learning methods and results analysis with smash.
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