Abhi0323 / Machine-Learning-Based-Loan-Default-Early-Warning-SystemLinks
Developed an end-to-end ML system on Azure to predict loan defaults, leveraging advanced data preprocessing, feature engineering, and machine learning models to optimize accuracy. This project includes a comprehensive suite of tools and techniques for robust financial risk assessment, deployed to enhance decision-making for high-risk exposures.
☆19Updated last year
Alternatives and similar repositories for Machine-Learning-Based-Loan-Default-Early-Warning-System
Users that are interested in Machine-Learning-Based-Loan-Default-Early-Warning-System are comparing it to the libraries listed below
Sorting:
- An end-to-end predictive maintenance application using machine learning to enhance industrial efficiency. This project employs robust mod…☆34Updated last year
- The Customer Churn table contains information on all 7,043 customers from a Telecommunications company in California in Q2 2022. We need …☆18Updated last year
- ☆114Updated last year
- This project enhances the LLaMA-2 model using Quantized Low-Rank Adaptation (QLoRA) and other parameter-efficient fine-tuning techniques …☆13Updated last year
- ☆20Updated last year
- ☆14Updated 2 years ago
- This project focuses on Supply Chain Analytics and Demand Forecasting using advanced analytics and models to optimize operations and pred…☆12Updated last year
- ☆12Updated 2 years ago
- Solved end-to-end machine learning projects☆36Updated 2 years ago
- Machine Learning and Reinforcement Learning in Finance Specialization (MOOC) Assignments☆12Updated 4 years ago
- This is a project on "Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning" using Pytorch, python, deep learning, gru, plotly☆71Updated 4 years ago
- Worked on various OTT Dataset. Used the Query Editor for data cleaning and preprocessing. Displayed the visuals using a variety of plots,…☆39Updated 2 years ago
- ☆50Updated 2 years ago
- ☆43Updated last year
- Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help …☆97Updated 3 years ago
- This project aims to predict customer conversion for an insurance company. Using historical data, we will develop a machine learning mode…☆11Updated 2 years ago
- This is a comprehensive end-to-end data engineering project. I extracted data directly from YouTube in raw JSON format using Python and A…☆11Updated last year
- ☆49Updated last year
- A web app to fetch and visualize stock data of many companies using yfinance api and chart.js. It can also predict future prices of many …☆25Updated 3 years ago
- ☆66Updated last year
- Real time project used by Data Scientist, Researcher, AI specialist & student as well☆54Updated 3 years ago
- Estimated annual CO2 emissions from diesel generators at mobile or cell towers☆41Updated 4 years ago
- Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning☆37Updated 4 years ago
- Machine learning model for Credit Card fraud detection☆109Updated 4 years ago
- All Data Science Handwritten Notes Consolidated at one Place☆29Updated 2 years ago
- ☆20Updated last year
- This is a Machine Learning Repository where all Types of Material Related with Machine Learning will be Available here..☆26Updated 2 years ago
- This repository contains the projects I did as a machine learning intern with Feynn Labs.☆15Updated last year
- Udemy course by Jose Portilla on using Python for Data Science.☆50Updated 6 years ago
- 🏠 A Data Science Project done to find the factors that most affect the price of an Airbnb listing.☆22Updated 5 years ago