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catboost_tutorials

CatBoost tutorials repository

fake_transaction_data_generator

This Python script generates a dataset of fake financial transactions, designed for audit training and testing purposes. It creates a CSV file containing a mix of normal transactions and various types of irregularities, ranging from simple anomalies to sophisticated patterns that require advanced analytical techniques to detect.

feature-selection-techniques

kaggle_competition__202110-tabular

kaggle_competition__202111-tabular

mads__analyze_gdpr_fines

Analyzing GDPR fines imposed by the European data protection authorities.

mads__communicating_data_science_results

This repository contains the deliverables for the SIADS 523: Communicating Data Science Results course project. The course focused on developing effective communication skills for data scientists, emphasizing the importance of tailoring content for different audiences and utilizing various communication formats.

mads__data_science_ethics_checklist

This repository contains a Data Ethics Checklist designed for data science projects, created as part of a university assignment in the MADS SIADS593 Ethics course. The assignment required designing a pledge, oath, or checklist relevant to a professional domain, incorporating course concepts and outside research.

mads__decode_dementia

The project was designed to enhance our understanding of the outcomes following traumatic brain injuries, focusing on their determinants and consequences.

mads__ds_manifesto

This manifesto continues to guide my practice and is regularly updated to reflect new insights and evolving best practices in the field.

mads__predicting_text_difficulty

This project aims to classify sentences from articles in the "Simple English Wikipedia" to determine whether they require simplification to enhance their accessibility and comprehensibility for audiences with low reading proficiency, including students, children, and non-native English speakers.

proto__readability_optimizer

Readability Optimiser is a prototype tool designed to help authors improve the readability of their texts, particularly for internal audit reports and investigation reports. It uses various readability tests and analyses to provide insights and suggestions for enhancing text clarity and comprehension.

rai__diabetes_analysis

IN PROGRESS: Exploring and evaluating Microsoft's Responsible AI toolkit using the scikit-learn Diabetes dataset to gain practical experience in ethical machine learning practices.