The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.
☆21Jul 1, 2020Updated 6 years ago
Alternatives and similar repositories for Home-Credit-Default-Risk-Recognition
Users that are interested in Home-Credit-Default-Risk-Recognition are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)☆12Dec 7, 2022Updated 3 years ago
- This project examine the relationship between Sustainalytics Environmental, Social, and Governance (ESG) risk ratings and the financial …☆12Oct 5, 2022Updated 3 years ago
- ☆11Sep 25, 2018Updated 7 years ago
- Python Data Mining Cookbook by Packt☆11Jan 14, 2021Updated 5 years ago
- This repository contains our project on Stock Market Price prediction Using Historical Data☆12Apr 25, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Designing a Machine Learning algorithm to predict stock prices is a subject of interest for economists and machine learning practitioners…☆21Aug 5, 2026Updated last week
- An end to end Machine Learning Case Study, which focusses on building a predictive model by leveraging the dataset provide by Home Credit…☆15Oct 31, 2020Updated 5 years ago
- Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…☆13May 6, 2020Updated 6 years ago
- Neural networks for insurance pricing with frequency and severity data☆12Oct 25, 2023Updated 2 years ago
- Practical Data Science using Python, by Packt Publishing☆13Dec 15, 2025Updated 8 months ago
- ☆13Nov 4, 2020Updated 5 years ago
- Alibaba Cloud TIANCHI NLP Competition☆20Mar 10, 2021Updated 5 years ago
- ☆19Mar 22, 2022Updated 4 years ago
- Predicting the stock market opening values using Deep learning's Model Recurrent Neural Networks which is a very powerful model.☆17Mar 31, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- In this project, I have tried to predict the stock price of Microsoft using LSTM☆16Feb 11, 2019Updated 7 years ago
- ☆22Dec 29, 2023Updated 2 years ago
- Mixture of Agents (MoA) using ollama and python☆18Jul 20, 2024Updated 2 years ago
- nvidia/parakeet-rnnt-1.1b running in Replicate Cog container ⚙️☆16Jan 5, 2024Updated 2 years ago
- [ROB-GY 6203] Example Visual Navigation Player Code for Course Project☆13Apr 27, 2026Updated 3 months ago
- ☆20Dec 24, 2023Updated 2 years ago
- Loan Default Prediction using PySpark, with jobs scheduled by Apache Airflow and Integration with Spark using Apache Livy☆22Dec 26, 2020Updated 5 years ago
- ⚡️Framework for fast persistent storage of multiple document embeddings and metadata into Pinecone for source-traceable, production-level…☆13Dec 23, 2024Updated last year
- Simulate and estimate volatility by GARCH with/without leverage, riskmetriks. Compute Value-at-Risk and Test on VaR Violation☆25Apr 27, 2018Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆12Apr 18, 2025Updated last year
- Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regressio…☆22Nov 3, 2020Updated 5 years ago
- ☆12Jan 7, 2023Updated 3 years ago
- ☆18Jan 17, 2025Updated last year
- A simple solitaire card game☆13Feb 8, 2024Updated 2 years ago
- Time Series forecasting using Seasonal ARIMA & Prophet. Applied statistical tests like Augmented Dickey–Fuller test to check stationary o…☆27Jan 25, 2022Updated 4 years ago
- Data Engineering - Metropolitan Transportation Authority (MTA) Subway Data Analysis☆34Jul 30, 2026Updated 2 weeks ago
- ☆27Apr 12, 2026Updated 4 months ago
- Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features …☆34Jul 2, 2026Updated last month
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Home-Credit Default Risk using Deep Learning☆18Jan 24, 2019Updated 7 years ago
- Inspired by Hillebrand & Medeiros (2009) and Corsi (2009), I put neural networks in a High frequency environment, and tested the performa…☆18Sep 11, 2020Updated 5 years ago
- Based on our paper "Pneumonia Detection from Chest X-ray Images using a Novel Weighted Average Ensemble Model" published in Nature- PlosO…☆20Sep 14, 2021Updated 4 years ago
- GACNN: TRAINING DEEP CONVOLUTIONAL NEURAL NETWORKS WITH GENETIC ALGORITHM☆22Jan 6, 2020Updated 6 years ago
- 3rd Place solution☆12Nov 20, 2024Updated last year
- openLGD is a Python powered library for the statistical estimation of Credit Risk Loss Given Default models. It can be used both as stan…☆25May 23, 2026Updated 2 months ago
- Taming Stable Diffusion for Lip Sync!☆17Mar 18, 2025Updated last year