Python Estimating-Loan-Default-Probability Resources

Data_Science_Interview_Questions Introduction 👋 Here are the answers to 120 Data Science Interview Questions The above answer some is modified based

E0 AI Chat Bot Based on the message, it prints the answer with the highest probability using probability from the database. Install on linux (Arch,Deb

Follow the development of our desktop client here Paaster Paaster is a secure by default end-to-end encrypted pastebin built with the objective of sim

Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry Official implementation of the paper Multi-View Depth Est

Birthday-problem In probability theory, the birthday problem asks for the probab

Buffon-s-Needle Buffon’s needle is one of the oldest problems in geometric proba

Estimating-Loan-Default-Probability IBA ML2 Mid-project / Kaggle Competition This porject is intented to build the most accurate model for predicting

Home Credit Default Risk: Open Solution This is an open solution to the Home Credit Default Risk challenge 🏡 . More competitions 🎇 Check collection

This is a library for simulate probability theory problems specialy conditional probability. It is also useful to create custom single or joint distribution with specific PMF or PDF to get probability table and genearte data based on probability function.

To model the probability of a soccer coach leave his/her team during Campeonato Brasileiro for 10 chosen teams and considering years 2018, 2019 and 2020.

IMDB Success Predictor Project involves Web Scraping custom IMDB data between 2020 and 2021 of 10000 movies and shows sorted by number of votes ,fine

bayesian_testing is a small package for a quick evaluation of A/B (or A/B/C/...) tests using Bayesian approach.

Credit Risk Modeling in Python Introduction: If you've ever applied for a credit card or loan, you know that financial firms process your information

Credit Risk Modeling in Python Introduction: If you've ever applied for a credit card or loan, you know that financial firms process your information

A tool to build scripts to toggle between minimal & default services in Windows based on user defined lists.

PyBx WIP A simple python module to generate anchor (aka default/prior) boxes for object detection tasks. Calculated anchor boxes are returned as ndarr

Frappe tinyMCE tinyMCE Text Editor for frappe apps Replace frappe's Quill Text E

Bayesian Changepoint Detection Methods to get the probability of a changepoint in a time series. Both online and offline methods are available. Read t

Loan Qualifier Application This program is designed to automate the discovery pr

Preprossing-loan-data-with-NumPy In this project, I have cleaned and pre-processed the loan data that belongs to an affiliate bank based in the United

kwcpu An unobtrusive CPU meter that fits in the default Windows 11 taskbar. Supports up to 32 cores. kwcpu is provided as a Rainmeter skin. By default

Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities. This is aimed at those looking to get into the field of Data Science or those who are already in the field and looking to solve a real-world project with python.

Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities

Improving Object Detection by Estimating Bounding Box Quality Accurately Abstract Object detection aims to locate and classify object instances in ima

Improving Object Detection by Estimating Bounding Box Quality Accurately Abstrac

The value of international students to the United States. Probability of getting a non-immigrant visa. Project timeline: Jan 2021 - April 2021 Project

pytest-skip-slow A pytest plugin to skip @pytest.mark.slow tests by default. Include the slow tests with --slow. Installation $ pip install pytest-ski

Default Syntax Chooser This Sublime Text 4 plugin provides the set_default_syntax_dialect command. This command manipulates a syntax file (e.g.: SQL.s

Select AWS Profile Select AWS Profile (slapr) is a simple tool that lets you select which AWS Profile you want to use and sets it as the default AWS p

Monochromatic colorscheme for matplotlib with opinionated sensible default If you need a simple monochromatic colorscheme for your matplotlib figures,

Langy Langy is a reading-focused foreign language learning aid orientated towards young children. Reading is an activity that every child knows. It is

Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels The implementation of Hypernet-Ensemble Le

IterMVS official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo' Introduction IterMVS is a novel lear

Deconfounding Temporal Autoencoder (DTA) This is a repository for the paper "Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Tim

Custom Python code for calculating the Probability of Profit (POP) for options trading strategies using Monte Carlo Simulations.

probability-density-function General info An application that calculates the probability density and cumulative distribution of a normal distribution

Surface Form Competition This is the official repo of the paper "Surface Form Competition: Why the Highest Probability Answer Isn't Always Right" We p

Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021) Single-cause Perturbation (SCP) is a framework to estimate the m

FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called Normalizing Flows.

The following people contributed equally to this repository (in alphabetical order): Daniel Bumke JJX Corstiaen Versteegh This repository is forked on

zEpid zEpid is an epidemiology analysis package, providing easy to use tools for epidemiologists coding in Python 3.5+. The purpose of this library is

Sylvester normalizing flows for variational inference Pytorch implementation of Sylvester normalizing flows, based on our paper: Sylvester normalizing

GoodPoints A Python package for generating concise, high-quality summaries of a probability distribution GoodPoints is a collection of tools for compr

MAPIE - Model Agnostic Prediction Interval Estimator MAPIE allows you to easily estimate prediction intervals (or prediction sets) using your favourit

CID3 This is a full-featured Decision Trees and Random Forests learner. It can save trees or forests to disk for later use. It is possible to query tr

Prior-RObust Bayesian Optimization (PROBO) Introduction, TOC This repository contains Prior-RObust Bayesian Optimization (PROBO) as introduced in our

Terminal Rickroll Simple threaded Python Rickroll server. Listens on port 23 by default. Rickroll video made using Video-To-Ascii and the standard ric

face-detector-age-gender This is a Keras implementation of a CNN for estimating age, gender and mask from a camera. Before run face detector app, expr

Sample-specific Bayesian Networks A framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample or per-patient re

Implemented shortest-circuit disambiguation, maximum probability disambiguation, HMM-based lexical annotation and BiLSTM+CRF-based named entity recognition

A quick and dirty script to scan the network, find default credentials on services and post a message to a Slack channel with the results.

Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild Akash Sengupta, Ignas Budvytis, Robert

wsa-apktool creates a batch file that uses adb to auto-install apks into the Windows Subsystem for Android and registers it as the default application

Estimating Example Difficulty using Variance of Gradients This repository contains source code necessary to reproduce some of the main results in the

PyImpetus PyImpetus is a Markov Blanket based feature selection algorithm that selects a subset of features by considering their performance both indi

stylebody {text-align: justify}/style AVAXTAR: Anti-VAXx Tweet AnalyzeR AVAXTAR is a python package to identify anti-vaccine users on twitter. The

TWIST: Self-Supervised Learning by Estimating Twin Class Distributions Codes and pretrained models for TWIST: @article{wang2021self, title={Self-Sup

Passhunt is a simple tool for searching of default credentials for network devices, web applications and more. Search through 523 vendors and their 2084 default passwords.

Elicited Helper tools to construct probability distributions built from expert elicited data for use in monte carlo simulations. Credit to Brett Hoove

Python package for probability density function fitting of univariate distributions of non-censored data

Command line parser for common log format (Nginx default).

Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

Stronghold Get inside your stronghold and make all your Django views default login_required Stronghold is a very small and easy to use django app that

PasswordMaker Strong listing password Introduction The probability of having the password you want in the tool is +90%!! How to Install Open the termi

mitm6 is a pentesting tool that exploits the default configuration of Windows to take over the default DNS server.

django-test-plus Useful additions to Django's default TestCase from REVSYS Rationale Let's face it, writing tests isn't always fun. Part of the reason

By default, networkx has problems with drawing self-loops in graphs. It makes it hard to draw a graph with self-loops or to make a nicely looking chord diagram. This repository provides some code to draw self-loops nicely

Diverse Semantic Image Synthesis via Probability Distribution Modeling (CVPR 2021) Paper Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu,

ProbFace, arxiv This is a demo code of training and testing [ProbFace] using Tensorflow. ProbFace is a reliable Probabilistic Face Embeddging (PFE) me

Pirate Weather Integrations This integration is designed to replace the default Dark Sky integration in Home Assistant with a slightly modified, but f

Chippure A Chip-8 emulator written using Python's default libraries. Instructions: Simply launch the .py file and type the name of the Chip8 ROM you w

pyprobables is a pure-python library for probabilistic data structures. The goal is to provide the developer with a pure-python implementation of common probabilistic data-structures to use in their work.

In Loan-Marketing business employees are required to call the user's to buy loans of several fields and in several magnitudes. If employees are calling everybody in the network it is also very lengthy and uncertain that most of the customers will buy it. So, there is a very need for a filtering system that segregates the customers who are unlikely to buy loans and the opposite. Loan-Web is visualized and made up on that context.

|Anaconda|_ MAPIE - Model Agnostic Prediction Interval Estimator MAPIE allows you to easily estimate prediction intervals using your favourite sklearn

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

PtStat Probabilistic Programming and Statistical Inference in PyTorch. Introduction This project is being developed during my time at Cogent Labs. The

pytest-sugar pytest-sugar is a plugin for pytest that shows failures and errors instantly and shows a progress bar. Requirements You will need the fol

What is Alabaster? Alabaster is a visually (c)lean, responsive, configurable theme for the Sphinx documentation system. It is Python 2+3 compatible. I

django-admin-interface django-admin-interface is a modern responsive flat admin interface customizable by the admin itself. Features Beautiful default

django-test-plus Useful additions to Django's default TestCase from REVSYS Rationale Let's face it, writing tests isn't always fun. Part of the reason

Stronghold Get inside your stronghold and make all your Django views default login_required Stronghold is a very small and easy to use django app that

WILDS is a benchmark of in-the-wild distribution shifts spanning diverse data modalities and applications, from tumor identification to wildlife monitoring to poverty mapping.