Build and evaluate several machine learning algorithms to predict credit risk
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Updated
Mar 6, 2022 - Jupyter Notebook
Build and evaluate several machine learning algorithms to predict credit risk
I'll use various techniques to train and evaluate a model based on loan risk. I will use a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
This repo represents all the resampling techniques needed to achieve better results in highly unbalanced or skewed data that has 77 % of data in one class and rest in others.
Resampling techniques to use on modeling train/test/validation data splits
Sampling and resampling techniques for random sample generation, estimation, and simulation
This repository contains some programs which helped me understand several topics in machine learning (e.g. regression, classification, resampling, trees, SVMs, clustering, neural nets, etc.).
course sub-material for statistical computing class (2021 Fall)
Repository contains the assignment that I have implement under the subject Image processing and pattern analysis.
Use the different techniques of resampling to quantify the uncertainty of predictions for a KNN regressor
In this analysis we build and evaluate several machine learning algorithms by resampling models to predict credit risk.
Machine learning used to predict the loan risks and classify them as healthy loans or high-risk loans.
Classify stars, galaxies, and quasars with SDSS DR16 data. Balanced dataset using resampling techniques improves AdaBoost classifier's performance, enhancing astronomical object classification accuracy.
Binary trait Resampling method Adjusting for Sample Structure
Machine Learning algorithms and code snippets in Python
PhD Thesis (TeX) on Data Mining Temporal and Indefinite Relations using Numerical Dependencies. University College London
Unit 11 Homework - Risky Business
This is an ongoing project on Characterizing, calculating and understanding(the drivers of) Elevational Migration of resient birds in the southern western Ghats.
Analysis on the performance of machine learning resampling and classification models to identify loan applicant credit risk.
solving problems with data analysis, hypotheses and the most used statistical tests in ecology
⚖⚡ Experimental evaluation of ensemble classifiers for imbalance in Big Data.
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