0xHadyy

Subscribers 8.1K

Videos 21

Views 241.1K

Channels Like 0xHadyy

0xHadyy documents and shares what they learn in the machine learning and statistical learning space. The channel leans toward tutorials and study journey content, including topics like model building, machine learning workflows, and explanations of algorithms, with a focus on practical understanding. Uploads average about 0.3 per week, and videos typically garner around 12.6K views, with recent uploads ranging from a few thousand to tens of thousands of views.

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Similar Channels

We found 48 YouTube channels similar to 0xHadyy

StatQuest with Josh Starmer YouTube channel thumbnail

#1

StatQuest with Josh Starmer view on YouTube

82% relevance

Subscribers 1.6M

Videos 293

Views 89.3M

Appearances 17

SERP 88%

Similarity 79%

dimensionality reduction explained logistic regression from scratch ridge regression intuition

High search overlap on topics like dimensionality reduction, ridge regression, and logistic regression mirrors 0xHadyy's statistical/machine learning explainers, with very strong audience fit though StatQuest uses a distinctly animated, concept-first style (high search alignment, high content alignment but with a different presentation approach).

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IBM Technology YouTube channel thumbnail

#2

IBM Technology view on YouTube

82% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 26

SERP 100%

Similarity 70%

predictive modeling basics data science study plan machine learning workflow

Shares broad data science and machine learning fundamentals, including predictive modeling basics and ML workflows, aligning on both searches and content themes, though IBM Technology targets a more enterprise-oriented, product/usage perspective.

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Infinite Codes YouTube channel thumbnail

#3

Infinite Codes view on YouTube

63% relevance

Subscribers 128K

Videos 40

Views 4.7M

Appearances 9

SERP 38%

Similarity 79%

machine learning workflow machine learning projects ML study journey

Converges on ML workflows, project-based learning, and ML study journeys, reflecting similar topic paths and study-oriented content, but Infinite Codes typically emphasizes project-centric tutorials with a programming-focused style.

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#4

Stanford Online

61% relevance

Subscribers 1.1M

Videos 2.9K

Views 77.1M

Appearances 11

SERP 38%

Similarity 77%

statistical learning overview ridge regression intuition model evaluation methods

Targets statistical learning, ridge regression intuition, and model evaluation methods, overlapping with 0xHadyy on theory-driven ML topics, while Stanford Online presents a more academic/credit-bearing course framing.

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#5

Visually Explained

59% relevance

Subscribers 82K

Videos 31

Views 4.4M

Appearances 5

SERP 33%

Similarity 77%

logistic regression from scratch PCA SVD explained gradient descent intuition

Covers logistic regression from scratch, PCA/SVD explanations, and gradient descent intuition, matching 0xHadyy on core ML concepts but using heavy visual storytelling and design-driven visuals to convey ideas.

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#6

Simplilearn view on YouTube

59% relevance

Subscribers 6.1M

Videos 10K

Views 509.1M

Appearances 15

SERP 39%

Similarity 72%

data science study plan machine learning workflow beginner ML topics

Offers data science study plans and ML workflow guidance akin to 0xHadyy's educational trajectory content, though Simplilearn often packages content into structured certification curricula with broader topic coverage.

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Content Landscape

Top competitors by match strength are StatQuest with Josh Starmer (82% match) and IBM Technology (82% match). Both overlap with 0xHadyy on queries such as dimensionality reduction explained, logistic regression from scratch, ridge regression intuition, predictive modeling basics, data science study plan, and machine learning workflow. A third competitor, Infinite Codes (63% match), also covers machine learning workflow and ML projects, aligning with the study journey theme. 0xHadyy has smaller subscriber counts (8.1K) compared with StatQuest and IBM Technology (around 1.6M each), Stanford Online (1.1M), and Visually Explained (82K), indicating a significant gap in reach but similar topic focus through overlapping queries.

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Video Highlights

Didn't Make the Cut

42 additional channels that were close

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#7	57%	Programming with Mosh	70%	5.0M	38%	5
#8	57%	3Blue1Brown	71%	8.2M	35%	6
#9	55%	ritvikmath	79%	206K	20%	8
#10	55%	freeCodeCamp.org	74%	11.5M	28%	7
#11	54%	CampusX	78%	683K	18%	6
#12	53%	Data Professor	77%	219K	17%	3
#13	52%	AI For Beginners	81%	26.2K	9%	5
#14	52%	NeuralNine	72%	461K	22%	6
#15	52%	Gate Smashers	68%	2.6M	27%	11
#16	52%	DataMListic	72%	52.2K	21%	7
#17	51%	NStatum	73%	1.7K	17%	2
#18	51%	numiqo	73%	284K	17%	5
#19	51%	Harry Connor AI	78%	13.3K	9%	2
#20	50%	Shaw Talebi	76%	91.2K	12%	5
#21	50%	AssemblyAI	70%	180K	20%	5
#22	49%	Intuitive Machine Learning	76%	22.8K	10%	2
#23	49%	Egor Howell	76%	67.7K	9%	4
#24	49%	Kilian Weinberger	77%	26.6K	7%	4
#25	49%	codebasics	68%	1.5M	20%	9
#26	49%	Dr Nic's Maths and Stats	73%	127K	12%	2
#27	49%	MIT OpenCourseWare	75%	6.2M	9%	5
#28	48%	Tech With Tim	71%	2.0M	14%	3
#29	48%	Udacity	70%	646K	14%	3
#30	48%	Eye on Tech	68%	128K	17%	3
#31	47%	3-Minute Data Science	72%	24.9K	11%	2
#32	47%	Krish Naik	72%	1.4M	9%	4
#33	47%	Fireship	70%	4.1M	13%	2
#34	47%	Normalized Nerd	71%	138K	10%	3
#35	46%	Prof. Ryan Ahmed	70%	267K	10%	2
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#37	46%	Trouble- Free	70%	221K	9%	1
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#39	45%	Greg Hogg	69%	321K	9%	3
#40	45%	Steve Brunton	69%	510K	9%	2
#41	44%	CrashCourse	67%	16.9M	10%	3
#42	44%	Professor Bryce	67%	54.4K	10%	2
#43	44%	LearnFree	68%	1.2M	9%	2
#44	44%	Joshua Emmanuel	67%	168K	9%	2
#45	43%	Neso Academy	65%	3.1M	10%	3
#46	43%	CodeLucky	67%	7.4K	7%	3
#47	42%	Exponent	65%	481K	9%	1
#48	40%	Lex Clips	59%	1.6M	11%	1

Search Queries Used

machine learning tutorials statistical learning overview predictive modeling basics data science study plan machine learning workflow dimensionality reduction explained logistic regression from scratch ridge regression intuition PCA SVD explained model evaluation methods machine learning projects ML study journey beginner ML topics deep learning introduction ML model building supervised learning basics unsupervised learning overview model validation techniques gradient descent intuition overfitting prevention tips underfitting concepts explained linear regression tutorial decision trees explained simply random forest basics k nearest neighbors guide gaussian processes overview neural network fundamentals backpropagation explained loss functions intuition bias variance tradeoff feature engineering ideas data preprocessing steps statistical inference basics time series forecasting intro model deployment workflow

Frequently Asked Questions

Which YouTube channels are most similar to 0xHadyy?

0xHadyy's biggest YouTube competitors are StatQuest with Josh Starmer (82% match, 1.6M subscribers) and IBM Technology (82% match, 1.6M subscribers) as top two, followed by Infinite Codes (63% match, 128K subscribers). All three channels produce educational content around data science and coding topics with a focus on explanations and tutorials, similar to 0xHadyy's statistical and machine learning content.

What type of content does 0xHadyy make?

0xHadyy creates educational machine learning and statistics content based on video titles such as 'Is Introduction to Statistical Learning Worth It?', 'I Built a Model to Predict The World Cup..', 'One Year of Machine Learning!', '6 Months of Machine Learning: Starting Deep Learning', and '5 Months of Machine Learning - 50 days wasted..'. The channel averages about 12.6K views per video and uploads roughly 0.3 times per week.

How do we determine which channels are similar to 0xHadyy?

We analyze 0xHadyy's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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