Project data scientist

Project data scientist

ABOUT

Collection of practical, theoretical, and motivational ideas in data science, machine learning, and applied AI that I curated and created.

It aims to help someone learn, compare, and remember important concepts to use in their daily practice.

After completion, someone will have gained comprehension of and acumen for best practices, logical approaches, and inspiring ideas in data science, machine learning, and applied AI.

DOMAINS

Data science, machine learning, applied AI

CONTENTS

Industry methodologies and working frameworks, machine learning techniques, data pre-processing theories and good practice

This project is ongoing, check back soon for more.

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Case studies

Case studies

ABOUT

Collection of case studies in data science, machine learning, and applied AI that are self-initiated, self-taught, and that I autonomously carried out to completion.

It aims to help someone deliberately apply techniques, metrics, processes and everything in between to real-world problems with an emphasis on the strategic and tactical implications of the choices made at each step.

After completion, someone will have gained a reflex for strategic, tactical, and deliberate thinking about real-world problems.

DOMAINS

Fraud detection

TOOLS

Python, Pandas, Seaborn, NumPy, Matplotlib

TECHNIQUES

SVM (Linear), SVM (RBF), Decision Tree Classifier

This project is ongoing, check back soon for more.

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