Subscribers
205 000
YOUTUBE SHOWS "205K subscribers"
CHANNELS / MACHINE LEARNIA
YouTube channel // numbers taken SEP 09, 2026
Machine Learnia
Machine Learnia has 205 000 YouTube subscribers and 11 985 500 views across the 65 videos we track, counted Sep 9, 2026.
Je m’appelle Guillaume Saint-Cirgue et je suis développeur Machine Learning au Royaume Uni. Je suis passionné par le Machine Learning et le Deep Learning et c'est pourquoi j'ai ouvert cette chaîne YouTube pour partager sans prétention mes connaissances dans ces domaines.
▸ Verdict
0.90x
Views per video run at 90% of subscriber count — reach lags the subscriber base.
BASED ON 65 COLLECTED VIDEOS
Views · tracked
11 985 500
SUM OVER 65 VIDEOS WE FOLLOW — NOT LIFETIME
Avg views / video
184 392
OVER 65 TRACKED VIDEOS
Subscriber dynamics
FIRST MEASUREMENT
205 000
SEP 09, 2026
DAILY TRACKING BEGINS ON THE NEXT CRAWL.
GROWTH CHART APPEARS AT 2+ POINTS.
GROWTH CHART APPEARS AT 2+ POINTS.
Views across last 40 videos
Videos · 65
I'M BACK! 🚀 (and I have a surprise for you...)
PROGRAMMATION d'un NEURONE ARTIFICIEL (DEEP LEARNING 5)
La VECTORISATION des équations - DEEP LEARNING (04)
NEURONE ARTIFICIEL - CHAT VS CHIEN - DEEP LEARNING 6
RÉSEAU DE NEURONES (2 COUCHES) - DEEP LEARNING 7
DEEP NEURAL NETWORK - DEEP LEARNING 10
PROGRAMMING A 2-LAYER NEURAL NETWORK - DEEP LEARNING 9
La BACK-PROPAGATION - DEEP LEARNING 8
FORMATION DEEP LEARNING COMPLETE (2021)
LE PERCEPTRON - DEEP LEARNING (02)
LES GRADIENTS D'UN NEURONE - DEEP LEARNING (03)
Machine Learnia, The sequel starts here.
PYTHON SKLEARN: KNN, LinearRegression et SUPERVISED LEARNING (20/30)
PANDAS PYTHON French - Introduction + Analysis of the Titanic (17/30)
PYTHON NUMPY machine learning (10/30)
MATPLOTLIB - Les Bases ! (14/30)
PANDAS PYTHON Tutoriel Français - Time Series (18/30)
PYTHON NUMPY STATISTIQUES et MATHÉMATIQUES (12/30)
PYTHON MODULES ET PACKAGES (8/30)
PYTHON BUILT-IN FUNCTIONS (7/30)
PYTHON NUMPY Indexing Slicing Masking (11/30)
MATPLOTLIB - Important Graphs (15/30)
SCIPY PYTHON Tutorial - Optimize, Fourier, NdImage (16/30)
PYTHON OBJECT-ORIENTED PROGRAMMING and impact on machine learning (9/30)
SEABORN PYTHON TUTORIAL PAIRPLOT etc: The MOST BEAUTIFUL GRAPHICS in 1 Line of Code! (19/30)
PYTHON NUMPY BROADCASTING (13/30)
NORMAL EQUATIONS: Where do they come from? (Video Archive June 2019)
Python 3.8 Changements importants
PYTHON SKLEARN - MODEL SELECTION : Train_test_split, Cross Validation, GridSearchCV (21/30)
APPRENTISSAGE NON-SUPERVISÉ avec Python (24/30)
PYTHON SKLEARN PRE-PROCESSING + PIPELINE (22/30)
EXPLORATORY DATA ANALYSIS - SOLUTIONS (27/30)
DATA PRE-PROCESSING with Python (28/30)
How to CHOOSE THE RIGHT Machine Learning MODEL?
SKLEARN PYTHON CROSS-VALIDATION (Techniques explained in French)
ENSEMBLE LEARNING : BAGGING, BOOSTING et STACKING (25/30)
REGRESSION METRICS in DATA SCIENCE (Coefficient of Determination, Squared Error, etc.)
FEATURE SELECTION with SKLEARN (23/30)
DATA SCIENCE AND WORKING APPROACH (26/30)
MODÈLE DE MACHINE LEARNING - Covid19 (29/30)
