yarrap

Robust_LLMS_TO_OOD

With an emphasis on In-Context Learning (ICL), our research delves into model's robustness in Out-of-Distribution (OOD) scenarios

ModelSelection

This the repository for Model Selection algorithm on Tabular Dataset

Opportunity-Pipeline-Forecasting

The probability of a customer buying a product was forecasted based on several business decision features. Performed Data Preparation, EDA and ran statistical conclusions, prior to fitting Logistic Regression, Decision Tree, Random Forest and XG Boost based models. Chose the best-fitting model according to model performance evaluation metrics.

Customer-Churn-Prediction

Predicting whether a customer will churn or not based on machine learning models

Penguin-Species-Prediction

Predicting a species of a penguin based on physical attributes using Decision Tree classifier

CIA-Country-Analysis-and-Clustering

Gain insights into similarity between countries and regions of the world by using clustering techniques.

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Data-Analysis-and-Visualization-project

DS-Career-Resources

Compilation of resources for aspiring data scientists

fuzzywuzzy

Fuzzy String Matching in Python

yarrap/yarrap

yarrap/Robust_LLMS_TO_OOD

With an emphasis on In-Context Learning (ICL), our research delves into model's robustness in Out-of-Distribution (OOD) scenarios

yarrap/Text2Scene

Text2Scene: Generating Compositional 3D Scenes Using Textual Descriptions Through CLIP

yarrap/Real-Time-Tag-Recommendation-System-for-Stack-Overflow

yarrap/ModelSelection

This the repository for Model Selection algorithm on Tabular Dataset

yarrap/CIA-Country-Analysis-and-Clustering

Gain insights into similarity between countries and regions of the world by using clustering techniques.

yarrap/DS-Career-Resources

Compilation of resources for aspiring data scientists

yarrap/Natural_Language_Processing

yarrap/fuzzywuzzy

Fuzzy String Matching in Python

yarrap/Opportunity-Pipeline-Forecasting

The probability of a customer buying a product was forecasted based on several business decision features. Performed Data Preparation, EDA and ran statistical conclusions, prior to fitting Logistic Regression, Decision Tree, Random Forest and XG Boost based models. Chose the best-fitting model according to model performance evaluation metrics.

yarrap/Penguin-Species-Prediction

Predicting a species of a penguin based on physical attributes using Decision Tree classifier

yarrap/Heart-Disease-Prediction

Utilizing Logistic Regression to determine the likelihood of heart disease presence in an individual.

yarrap/Data-Analysis-and-Visualization-project

yarrap/Mine-Prediction-Using-Sonar-Frequency

Built a machine learning model which is capable of detecting the difference between a rock or a mine using KNN Classification.

yarrap/Customer-Churn-Prediction

Predicting whether a customer will churn or not based on machine learning models

yarrap/cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep