Free YouTube Influencer Report on Nicholas Renotte

Report generated on September 06, 2026

@NicholasRenotte

Sup! Welcome to the channel. So, if you're reading this, you're probably wondering what this is all about and who the hell is this Nicholas Renotte guy. Right? Right! Well, I'm here to share practical ways to get started with data science, machine learning and deep learning using a bunch of different tools but mainly Python and Javascript. My only goal is to make it easier to get started and break through all the fancy jargon and complex math that's out there in the field and get YOU up and running with some sick ml projects. Jump on for the ride homie! LinkedIn: https://www.linkedin.com/in/nicholasrenotte/ Facebook: https://www.facebook.com/nickrenotte/ GitHub: https://github.com/nicknochnack Peace! P.s. Did I mention I like data?

Australia

Subscribers

329k ▲ 1.23%this month

@NicholasRenotte's YouTube subscribers — the basis for Engagement Rate, Real audience rate, and Audience tab metrics.

Engagement Rate

0.12%

How often @NicholasRenotte's audience reacts to a typical YouTube video. See the Influencer tab for a detailed breakdown.

Popular Posts

January 23, 00:00

Get notified of the free Python course on the home page at https://www.coursesfromnick.com Sign up for the Full Stack course here and use YOUTUBE50 to get 50% off: https://www.coursesfromnick.com/bundl... Hopefully you enjoyed this video. 💼 Find AWESOME ML Jobs: https://www.jobsfromnick.com Oh, and don't forget to connect with me! LinkedIn: https://bit.ly/324Epgo Facebook: https://bit.ly/3mB1sZD GitHub: https://bit.ly/3mDJllD Patreon: https://bit.ly/2OCn3UW Join the Discussion on Discord: https://bit.ly/3dQiZsV Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand! #machinelearning #python #datascience

84k

1.5m

295

April 9, 00:00

Want to get up to speed on AI powered Object Detection but not sure where to start? Want to start building your own deep learning Object Detection models? Need some help detecting stuff for your course, startup or business? This is the course you need! In this course, you’ll learn everything you need to know to go from beginner to practitioner when it comes to deep learning object detection with Tensorflow. This course mainly revolves around Python but there’s a little Javascript thrown in as well when it comes to building a web app in Project 2. But don’t fret we’ll take it step by step so you can take your time and work through it. All the code it made available through GitHub, links below. As part of this course you’ll build four different object detection models: A. Gesture Detection - this is the first project where you’ll be able to build a model that detects four different gestures B. Microscope Based Defect Detection - here we’ll leverage a USB microscope to detect defects in LEDs and PCBs using TFOD and Python C. Web Direction Detection - in this model you’ll learn how to detect hand directions for integration in a React Js Web App with Tensorflow Js D. Face Sentiment Detection - here you’ll learn how to estimate facial sentiment using Tensorflow Object Detection on a Raspberry Pi with TFLite You’ll learn how to: 1. Install Tensorflow Object Detection on a Local Machine and on Colab 2. Collect and Label images for Object Detection using LabelImg 3. Train Deep Learning powered Object Detection Models using Python and TFOD 4. Detect objects in real time using a webcam and using Images 5. Tune Object Detection models to improve Precision and Recall 6. Export your model to Tensorflow JS for integration in React JS web apps 7. Export your model to TFLite for use on a Raspberry Pi Get the code Tensorflow Object Detection Python Course Code: https://github.com/nicknochnack/TFODCourse Tensorflow Object Detection React App: https://github.com/nicknochnack/TFODApp Tensorflow Object Detection for Raspberry Pi: https://github.com/nicknochnack/TFODRPi Chapters: 0:00 - Start 12:13 - SECTION 1: Installation and Setup 26:34 - Cloning the Baseline Code from GitHub 27:59 - Creating a Virtual Environment 39:57 - SECTION 2: Collecting Images and Labelling 44:48 - Collecting Images Using Your Webcam 1:04:11 - Labelling Images for Object Detection using LabelImg 1:29:08 - SECTION 3: Training Tensorflow Object Detection Models 1:34:04 - Tensorflow Model Zoo 1:39:04 - Installing Tensorflow Object Detection for Python 1:56:41 - Installing CUDA and cuDNN 2:06:42 - Using Tensorflow Model Zoo models 2:09:21 - Creating and Updating a Label Map 2:10:09 - Creating TF Records 2:17:23 - Training Tensorflow Object Detection Models for Python 2:27:48 - Evaluating OD Models (Precision and Recall) 2:29:08 - Evaluating OD Models using Tensorboard 2:34:07 - SECTION 4: Detecting Objects from Images and Webcams 2:34:52 - Detecting Objects in Images 2:38:57 - Detecting Objects in Real Time using a Webcam 2:41:56 - SECTION 5: Freezing TFOD and Converting to TFJS and TFLite 2:42:25 - Freezing the Tensorflow Graph 2:44:17 - Converting Object Detection Models to Tensorflow Js 2:45:27 - Converting Object Detection Models to TFLite 2:47:45 - SECTION 6: Performance Tuning to Improve Precision and Recall 3:12:34 - SECTION 7: Training Object Detection Models on Colab 3:24:05 - SECTION 8: Object Detection Projects with Python 3:25:25 - Project 1: Detecting Object Defects with a Microscope 3:57:34 - Project 2: Web Direction Detection using Tensorflow JS 4:47:40 - Project 3: Sentiment Detection on a Raspberry Pi Using TFLite Oh, and don't forget to connect with me! LinkedIn: https://bit.ly/324Epgo Facebook: https://bit.ly/3mB1sZD GitHub: https://bit.ly/3mDJllD Patreon: https://bit.ly/2OCn3UW Join the Discussion on Discord: https://bit.ly/3dQiZsV Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand!

38k

1.6m

3.7k

March 6, 00:00

Get notified of the free Python course on the home page at https://www.coursesfromnick.com Sign up for the Full Stack course here and use YOUTUBE50 to get 50% off: https://www.coursesfromnick.com/bundl... Code: https://github.com/nicknochnack/ChatGPTAPI Hopefully you enjoyed this video. 💼 Find AWESOME ML Jobs: https://www.jobsfromnick.com Oh, and don't forget to connect with me! LinkedIn: https://bit.ly/324Epgo Facebook: https://bit.ly/3mB1sZD GitHub: https://bit.ly/3mDJllD Patreon: https://bit.ly/2OCn3UW Join the Discussion on Discord: https://bit.ly/3dQiZsV Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand! #machinelearning #python #datascience

29k

773k

194

January 24, 00:00

20k

436k

360

January 18, 00:00

🐍 Get the free Python course https://go.coursesfromnick.com/python 👨‍💻 Sign up for the Full Stack course and use YOUTUBE50 to get 50% off: https://www.coursesfromnick.com/bundles/fullstackml Hopefully you enjoyed this video. 💼 Find AWESOME ML Jobs: https://www.jobsfromnick.com 🤖 Get the Code: https://github.com/nicknochnack/MLTradingBot Disclaimer: This has been developed for academic purposes. Nothing herein is financial advice, and NOT a recommendation to trade real money. Please use common sense and always first consult a professional before trading or investing. Oh, and don't forget to connect with me! LinkedIn: https://bit.ly/324Epgo Facebook: https://bit.ly/3mB1sZD GitHub: https://bit.ly/3mDJllD Patreon: https://bit.ly/2OCn3UW Join the Discussion on Discord: https://bit.ly/3dQiZsV Happy coding! Nick

18k

852k

906

@NicholasRenotte's profile analysis

Engagements spread for last posts

889

593

296

122
June 26, 2025

Jun

757
July 27, 2025

Jul

Aug

Sep

Oct

... 10 months

Sep

How we built the Nicholas Renotte report

This report covers Nicholas Renotte's YouTube account, Nicholas Renotte, using the account records available in IQFluence.

The engagement chart shows 10 videos published between 26 Jun 2025 and 30 Oct 2025. These are the content records available in this report; they are not confirmed as a complete account history. They are not confirmed as the sample behind average likes.

Average likes shows the arithmetic average of likes received by this account's last 30 posts. IQFluence calculates engagement rate as Average likes divided by Subscribers, multiplied by 100. Both values belong to the same analysis. The percentage does not measure unique engaged followers. Calculation details for average comments and average views were not supplied.

The source report is dated 6 Sep 2026; a separate collection timestamp for these metrics was not supplied.

IQFluence estimates audience location using location tags, recent-post language and captions, and information from follower bios. Country percentages are estimates, not verified residence data. These estimates do not establish unique reach, purchase intent or campaign sales.

Read the full methodology

Data availability in this snapshot

Source report date: 6 Sep 2026
Profile last checked: 3 Sep 2026
Performance data updated: Sep 2026
Audience data updated: Not supplied
Observed history window: 26 Jun 2025 – 30 Oct 2025
Posts in this history: 10

"Not supplied" describes missing metadata. It does not mean that the account is inactive.

TopicSensor®

Lookalikes

DigitalSreeni DigitalSreeni

Murtaza's Workshop - Robotics and AI Murtaza's Workshop - Robotics and AI

@jamieoliver Jamie Oliver

Check out another influencer

@NicholasRenotte's audience analysis

Gender and age

Male 67.4%
Female 32.6%

Country

Philippines —
United Kingdom —
Turkey —

Language

English 63.16%
Spanish 6.75%
Portuguese 4.06%

Audience lookalikes

@foodnetwork Food Network

@tasty Tasty

@buzzfeedtasty BuzzFeed Tasty

Creators whose audiences share the most behavioral overlap with @NicholasRenotte's. If a campaign with @NicholasRenotte works, these are the closest neighbors to scale the same message.

Notable Subscribers

@bonappetitmag Bon Appetit Magazine

@jamieoliver Jamie Oliver

@gordongram Gordon Ramsay

Verified or high-profile accounts that follow @NicholasRenotte — a signal of credibility and reach beyond their core audience.

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Questions about Nicholas Renotte

Which videos are included in the engagement chart?

The chart uses 10 videos published between 26 Jun 2025 and 30 Oct 2025. These records are not confirmed as a complete account history or as the sample behind average likes.

Can I see audience data for this account?

This page includes the top audience city, the top three audience languages and the top audience interest. Other audience fields require registration and are subject to plan limits. These figures are estimates.

How is engagement rate calculated in this report?

IQFluence calculates engagement rate as Average likes divided by Subscribers, multiplied by 100. Both values belong to the same analysis. The percentage does not measure unique engaged followers.

How is Nicholas Renotte's average likes calculated?

Average likes shows the arithmetic average of likes received by this account's last 30 posts. It is an average per post, not the account's total likes.

Has Nicholas Renotte's subscriber count changed?

Subscribers changed from 325,000 in Mar 2026 to 329,000 in Sep 2026, a change of +4,000 (+1.23%). This describes the observed period; it does not establish the cause of the change or predict future results.

How current are these figures?

The source report is dated 6 Sep 2026; a separate collection timestamp for these metrics was not supplied, so the current count on the platform may differ.

What can I see without signing up?

You can view this public report without signing up. The Free plan includes 10 searches and 10 free influencer reports, with audience analysis where available. You can then choose a trial of a paid plan with higher limits.