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Pat Gostek

YouTube Strategist;*;*;Channel Manager;*;*;Agency CEO

9 historical reviewsHistorical work attribution

Portfolio

2340 work samples. Each credit shows where it came from.

ChatGPT for Data Science: 5 Practical Use Cases

ChatGPT for Data Science: 5 Practical Use Cases

Super Data Science · 189K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

ChatGPT for Data Science: 5 Practical Use Cases
Super Data Science189K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

STOP WASTING Months Breaking Into AI: How to Learn AI FAST in 2025

STOP WASTING Months Breaking Into AI: How to Learn AI FAST in 2025

Super Data Science · 42.3K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Scriptwriter, Channel Manager, Creative Director, Thumbnail Designer, YouTube Producer

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

STOP WASTING Months Breaking Into AI: How to Learn AI FAST in 2025
Super Data Science42.3K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

Random Forest Regression Explained in 8 Minutes

Random Forest Regression Explained in 8 Minutes

Super Data Science · 38.5K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

Random Forest Regression Explained in 8 Minutes
Super Data Science38.5K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

SECRETS of Training Large Language Models & Gen AI Explained

SECRETS of Training Large Language Models & Gen AI Explained

Super Data Science · 18.6K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Video Editor, Creative Director, Thumbnail Designer, Scriptwriter, YouTube Producer, Channel Manager

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

SECRETS of Training Large Language Models & Gen AI Explained
Super Data Science18.6K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

How XGBoost Builds Smarter Decision Trees

How XGBoost Builds Smarter Decision Trees

Super Data Science · 16.1K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Video Editor, Creative Director, Thumbnail Designer, Scriptwriter, YouTube Producer, Channel Manager

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

How XGBoost Builds Smarter Decision Trees
Super Data Science16.1K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

How ChatGPT and other LLMs Generate Text?

How ChatGPT and other LLMs Generate Text?

Super Data Science · 13.8K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Video Editor, Creative Director, Scriptwriter, Thumbnail Designer, YouTube Producer, Channel Manager

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

How ChatGPT and other LLMs Generate Text?
Super Data Science13.8K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

Master Ensemble Models: Bagging vs Boosting in Machine Learning EXPLAINED

Master Ensemble Models: Bagging vs Boosting in Machine Learning EXPLAINED

Super Data Science · 12.5K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Channel Manager, Video Editor, Creative Director, Thumbnail Designer, Scriptwriter, YouTube Producer

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

Master Ensemble Models: Bagging vs Boosting in Machine Learning EXPLAINED
Super Data Science12.5K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

Deep Learning Simplified: How NEURAL NETWORKS Work? [Real-World Example]

Deep Learning Simplified: How NEURAL NETWORKS Work? [Real-World Example]

Super Data Science · 11.7K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

Deep Learning Simplified: How NEURAL NETWORKS Work? [Real-World Example]
Super Data Science11.7K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

How Do Self Organizing Maps (SOMs) in Artificial Intelligence Learn? What Makes Them So POWERFUL?

How Do Self Organizing Maps (SOMs) in Artificial Intelligence Learn? What Makes Them So POWERFUL?

Super Data Science · 11.3K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Video Editor, Creative Director, Thumbnail Designer, Scriptwriter, Channel Manager, YouTube Producer

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

How Do Self Organizing Maps (SOMs) in Artificial Intelligence Learn? What Makes Them So POWERFUL?
Super Data Science11.3K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

Input Embeddings: How to Create Semantic Word Embeddings for AI & Natural Language Processing (NLP)

Input Embeddings: How to Create Semantic Word Embeddings for AI & Natural Language Processing (NLP)

Super Data Science · 10.4K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Video Editor, Creative Director, Scriptwriter, Thumbnail Designer, YouTube Producer, Channel Manager

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

Input Embeddings: How to Create Semantic Word Embeddings for AI & Natural Language Processing (NLP)
Super Data Science10.4K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

How do Self Organizing Maps Work? Self Organizing Maps - Part 1

How do Self Organizing Maps Work? Self Organizing Maps - Part 1

Super Data Science · 8.9K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Video Editor, Creative Director, Thumbnail Designer, Scriptwriter, Channel Manager, YouTube Producer

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

How do Self Organizing Maps Work? Self Organizing Maps - Part 1
Super Data Science8.9K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

The Power of Ensemble Learning: How to Use Stacking for Better Machine Learning Models

The Power of Ensemble Learning: How to Use Stacking for Better Machine Learning Models

Super Data Science · 6K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Video Editor, Creative Director, Thumbnail Designer, Scriptwriter, YouTube Producer, Channel Manager

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

The Power of Ensemble Learning: How to Use Stacking for Better Machine Learning Models
Super Data Science6K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

How Gradient Boosting REALLY Works in Machine Learning

How Gradient Boosting REALLY Works in Machine Learning

Super Data Science · 5.9K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Video Editor, Creative Director, Thumbnail Designer, Scriptwriter, Channel Manager, YouTube Producer

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

How Gradient Boosting REALLY Works in Machine Learning
Super Data Science5.9K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

Introduction to Energy-Based Models in Deep Learning - The Boltzmann Distribution Explained

Introduction to Energy-Based Models in Deep Learning - The Boltzmann Distribution Explained

Super Data Science · 5.8K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Thumbnail Designer, Scriptwriter, Creative Director, Video Editor, Channel Manager, YouTube Producer

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

Introduction to Energy-Based Models in Deep Learning - The Boltzmann Distribution Explained
Super Data Science5.8K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

Build Your Own RAG System with HuggingFace and Open Source LLMs

Build Your Own RAG System with HuggingFace and Open Source LLMs

Super Data Science · 5.7K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Creative Director, Thumbnail Designer, Channel Manager, YouTube Producer

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

Build Your Own RAG System with HuggingFace and Open Source LLMs
Super Data Science5.7K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

Data Science Career Paths: 17 Roles Compared

Data Science Career Paths: 17 Roles Compared

Super Data Science · 4.3K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Thumbnail Designer, Creative Director, Channel Manager, YouTube Producer

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

Data Science Career Paths: 17 Roles Compared
Super Data Science4.3K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

Master K-Fold Cross-Validation for Machine Learning

Master K-Fold Cross-Validation for Machine Learning

Super Data Science · 4.3K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Video Editor, Creative Director, Thumbnail Designer, Scriptwriter, YouTube Producer, Channel Manager

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

Master K-Fold Cross-Validation for Machine Learning
Super Data Science4.3K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

Introduction to CatBoost: The Best Gradient Boosting Method?

Introduction to CatBoost: The Best Gradient Boosting Method?

Super Data Science · 4.1K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Video Editor, Creative Director, Thumbnail Designer, Scriptwriter, YouTube Producer, Channel Manager

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

Introduction to CatBoost: The Best Gradient Boosting Method?
Super Data Science4.1K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

Deep Belief Networks CHANGED Deep Learning Forever (Overview)

Deep Belief Networks CHANGED Deep Learning Forever (Overview)

Super Data Science · 4K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Creative Director, Thumbnail Designer, Scriptwriter, YouTube Producer, Channel Manager, Video Editor

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

Deep Belief Networks CHANGED Deep Learning Forever (Overview)
Super Data Science4K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

What Is Tokenization in AI? Understanding Tokenization for Large Language Models

What Is Tokenization in AI? Understanding Tokenization for Large Language Models

Super Data Science · 3.9K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Video Editor, Creative Director, Thumbnail Designer, Scriptwriter, YouTube Producer, Channel Manager

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

What Is Tokenization in AI? Understanding Tokenization for Large Language Models
Super Data Science3.9K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

LightGBM: A Comprehensive Introduction

LightGBM: A Comprehensive Introduction

Super Data Science · 3.8K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Video Editor, Creative Director, Thumbnail Designer, YouTube Producer, Scriptwriter, Channel Manager

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

LightGBM: A Comprehensive Introduction
Super Data Science3.8K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

Flattening in Convolutional Neural Networks (CNNs) Explained

Flattening in Convolutional Neural Networks (CNNs) Explained

Super Data Science · 3.7K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Creative Director, Thumbnail Designer, Channel Manager, YouTube Producer

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

Flattening in Convolutional Neural Networks (CNNs) Explained
Super Data Science3.7K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

Restricted Boltzmann Machines for AI Applications - How AI Predicts Your Preferences

Restricted Boltzmann Machines for AI Applications - How AI Predicts Your Preferences

Super Data Science · 3.7K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Video Editor, Creative Director, Thumbnail Designer, Scriptwriter, Channel Manager, YouTube Producer

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

Restricted Boltzmann Machines for AI Applications - How AI Predicts Your Preferences
Super Data Science3.7K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

Stochastic Gradient Descent vs Gradient Descent Explained

Stochastic Gradient Descent vs Gradient Descent Explained

Super Data Science · 3.6K historical views

People behind the work

Pat GostekChannel Manager profile

Roles recorded on this video: YouTube Strategist, Creative Director, Channel Manager, YouTube Producer, Thumbnail Designer

Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

View count is from the source record, not a live YouTube figure.

Stochastic Gradient Descent vs Gradient Descent Explained
Super Data Science3.6K historical views
Historical credit: what this means

A retained source record links this person and role to the video. It has not been independently re-verified.

About these numbers

Videos reported in the source portfolio
2.3KThe work samples shown above.
Views reported for the portfolio
75.3MThe source’s total for this person’s listed videos, from an unknown date. It counts public views of those videos, not views this person generated, and is not a live figure.
Channels associated
25Channels linked to this profile in the source record. An association is not a confirmed working relationship.
B

Brodaty Tata - VlogOjciec

Historical review
Highly recommend! For those who know, this channel is where everything started. Launching, editing, publishing, and managing this YouTube channel lead to my everything that followed.

Retained source review

D

Dominika Gostek

Historical review
Pat Gostek was invaluable in launching and managing my YouTube channel. His expertise in editing, publishing, and running it made a significant difference. Highly recommended for anyone looking to thrive on YouTube!

Retained source review

Skills & specialties

Content specialties

Action/AdventureAutos & VehiclesBusinessBusiness and FinanceClassicsComedy+34 more

Creative styles

ASMRBehind the scenesChallengeCinematicCommentaryDocumentary+21 more

Software

Adobe After EffectsAdobe AuditionAdobe IllustratorAdobe LightroomAdobe PhotoshopAdobe Premiere Pro+6 more

Skills & services

Affinity DesignerAffinity PhotoAIAnthropic ClaudeApple MotionApple Podcast+18 more

Languages (historical self-report)

EnglishGermanPolish

About

I help brands and expert-led creators grow on YouTube through clear strategy, strong packaging, and systems built to compound. My focus is on the parts that most teams underestimate or rush: positioning, titles, thumbnails, hooks, retention, and channel structure. When these elements work together, content performs better and trust builds faster. I’ve worked across agencies and in-house environments, supporting startups and global brands with YouTube strategy, video editing, and publishing. I’m especially effective in education-driven and authority-based niches where credibility matters as much as performance. Today, I run ClipGrowth, a YouTube-focused agency.

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Pat Gostek — Channel Manager | PixelJobs