Data Science Solutions

Data Science Solutions ✓

YouTube @datasciencesolutions2361 Technology 📍 United States
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Subscribers
5.1K
🔥 Buzz rank
#47,192 ▼33841
Total Views
287.1K
Videos
175
Channel age
4 yrs
Est. monthly earnings
$6 – $11
How we estimate
~941 recent monthly views × an estimated ad RPM of $6.30–$12.15 per 1,000 views — adjusted for Technology content and a US audience. Yearly ≈ $72 – $132. Excludes sponsorships, memberships & merch. Full methodology →

Known for

With Reinforcement Learning OpenAI gym train a rl agent cartpole to straighten itself out2.6K views With Reinforcement Learning OpenAI gym train a rl agent cartpole to straighten itself out Using OpenAI Gym and PyTorch along with DeepQ learning train an rl agent pendulum to swing correctly2.5K views Using OpenAI Gym and PyTorch along with DeepQ learning train an rl agent pendulum to swing correctly Using DeepQ Learning train an RL agent to play in Gridworld enviroment you build from scratch2.3K views Using DeepQ Learning train an RL agent to play in Gridworld enviroment you build from scratch Using DeepQ Learning and OpenAI Gym train a RL Agent to play Frozen Lake and record the game2.2K views Using DeepQ Learning and OpenAI Gym train a RL Agent to play Frozen Lake and record the game

▶️ Featured Video

2.6K views

📈 Performance

Typical video
95–1.2K views
Median 351 — the reliable floor a brand can expect, not just the headline average.
Upload rhythm
0.3× / week
Most active on Wednesdays — consistent output keeps an engaged, sponsor-ready audience.
701
Avg views / video
33
Avg likes
2
Avg comments
4.97%
Engagement rate
0.3
Uploads / week
1.6K
Lifetime avg / video
57
Views / subscriber
0%
Shorts (recent views)
Engagement rate = (likes + comments) ÷ views across recent videos.

💡 Did you know?

🗓️Joined YouTube in 2021 — 4 years ago.
🏆Ranked #10,137 among all influencers on SocialDB.
🎯Top Technology influencer — #338 in the niche.
👁️Averages 701 views per video.
📤Posts about 0.3× per week.
💬4.97% engagement rate.
📍Based in United States.

🛡️ Audience credibility

76/100 Good
  • Est. 85% real, active audience · Low fake-follower risk.
  • Healthy view-through — roughly 14% of subscribers watch each video.
  • 4.97% engagement — around average for this size.
Est. authentic audience
85%
Fake-follower risk
Low

Heuristic estimate from view-through, engagement vs size and recent growth — a screening signal, not a guarantee.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split
Male 77% Female 23%
Age · peak 18-24
13-177%
18-2431%
25-3430%
35-4420%
45+12%
Top geographies
  • United States46%
  • United Kingdom8%
  • Canada7%
  • Australia4%
  • India5%
Likely interests
TechnologyGadgetsSoftwareGaming

💚 Brand affinity

Estimated

Brands Data Science Solutions's audience is most likely to respond to — from detected sponsorships in this niche.

Amazon Affiliate Keeps Patreon Genshin Impact Shopify Fiverr Epidemic Sound Audible Grammarly Cash App

About

My Channel teaches Intermediate to Advanced level Machine Learning, Deep Learning, and Reinforcement Learning in Python with various frameworks. Two of my playlists are deployment videos one on Google Cloud and another on AWS using Sagemaker. Feel free to message me if you want a specific video if I get enough reasonable requests I will do it. Or another reasonable request related to my videos featured.

📸 Gallery

Enhance Images using Super Resolution Pretrained Tensorflow Model on any images you want How to build and deploy a Color Extraction of images web app using Streamlit and KMeans Cybersecurity scanning of any website using nmap framework and Basic Data Analysis. With Pandas, response framework, and fernet framework do basic encryption and data manipulation 🔒 How to get keyword extraction and assign cluster in a legal dataset with KMeans and tdif vectorizer How to do hyperparameter tuning of a random forest regression model on Breast Cancer Prognosis Data How to do a Voting Classifier, Feature Engineering, and Cross Validate Imbalanced Cancer Data Using Kmodes Algorithm cluster raw dna when you can't use a label encoder also dna results analysis

Recent videos

Enhance Images using Super Resolution Pretrained Tensorflow Model on any images you want
36 views · 4 months ago
How to build and deploy a Color Extraction of images web app using Streamlit and KMeans
68 views · 11 months ago
Cybersecurity scanning of any website using nmap framework and Basic Data Analysis.
61 views · 11 months ago
With Pandas, response framework, and fernet framework do basic encryption and data manipulation 🔒
33 views · 11 months ago
How to get keyword extraction and assign cluster in a legal dataset with KMeans and tdif vectorizer
45 views · 11 months ago
How to do hyperparameter tuning of a random forest regression model on Breast Cancer Prognosis Data
158 views · 1 year ago
How to do a Voting Classifier, Feature Engineering, and Cross Validate Imbalanced Cancer Data
82 views · 1 year ago
Using Kmodes Algorithm cluster raw dna when you can't use a label encoder also dna results analysis
52 views · 1 year ago
Solving Chemistry Problems with NLP with the tdif vectorizer, f1 score of 83%, and confusion matrix
55 views · 1 year ago
Object Detection and Image Processing with Yolo 8 and CV2 on any pictures you want with little code
144 views · 1 year ago
Reinforcement Learning Tutorial with MsPacman atari game using StableBaselines 3 CNN Policy
436 views · 1 year ago
With Reinforcement Learning and Stablebaselines CNN train RL Agent to play Atari Game Space Invaders
292 views · 1 year ago

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

Code with Josh Code with Josh 92% Thomas Spicher Thomas Spicher 90% Portable Power Station Reviews Portable Power Station Reviews 80% Becoming an Engineer Becoming an Engineer 75% Galaxy Tech Review Galaxy Tech Review 73% Verysickbeats Verysickbeats 68%

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