Measures and metrics for image2image tasks. PyTorch.
Comparison of IQA models in Perceptual Optimization
💨 A desktop application to convert videos to high-quality GIF built with Electron and React
R enviroment - fast imputations 🐉
INSAID Assignment to create a ML model to detect fraud transactions for a financial company.
Terraform module to setup AWS Direct Connect resources
An intelligent video surveillance system also provides video cameras and recording solutions to monitor every part of the building and site perimeter. Yet it also utilizes smart security technology such as sensors and AI models.
Assignment-05-Multiple-Linear-Regression-2. Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few y…
Statistical concepts, from statistical inference to Bayes probability and different distribution types
R package for exhaustive selection of variable subsets below a correlation threshold.
CredVibe is an ML credit scorecard system achieving 95%+ default recall with explainable predictions for loan risk assessment. Features KS/Gini validation, Optuna tuning, FastAPI + Streamlit deployment. Generates CIBIL-like scores, and converts to business rules for BRE integration.
'21 한국통신학회 동계종합학술발표회 투고 논문, "XGBoost기반 당뇨병 예측 알고리즘 연구:2016~2018을 이용하여" 연구 과정 전반의 Open Archive입니다.
Predictive model that tells important factors(or features) affecting the demand for shared bikes
Machine Learning Project
This project uses the Reaction Time Survey dataset to develop a linear regression model for accurately predicting student reaction times based on various predictors. Tech: R (RStudio)
This is a group project for MTH416A: Regression Analysis at IIT Kanpur
Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Levera…
Prevendo Customer Churn em Operadoras de Telecom
Supervised Classfication models - Logistic Regression & Decision Tree, AUC-ROC Curve
The objective of this project is to find the variables which most affect in predicting the price of a property from the data.
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