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I'M BACK! 🚀 (and I have a surprise for you...)
3:13
DEEP NEURAL NETWORK - DEEP LEARNING 10
26:59
PROGRAMMING A 2-LAYER NEURAL NETWORK - DEEP LEARNING 9
22:32
La BACK-PROPAGATION - DEEP LEARNING 8
31:56
RÉSEAU DE NEURONES (2 COUCHES) - DEEP LEARNING 7
24:29
NEURONE ARTIFICIEL - CHAT VS CHIEN - DEEP LEARNING 6
58:29
PROGRAMMATION d'un NEURONE ARTIFICIEL (DEEP LEARNING 5)
38:56
La VECTORISATION des équations - DEEP LEARNING (04)
20:26
LES GRADIENTS D'UN NEURONE - DEEP LEARNING (03)
33:52
LE PERCEPTRON - DEEP LEARNING (02)
24:45
FORMATION DEEP LEARNING COMPLETE (2021)
30:57
Machine Learnia, The sequel starts here.
12:44
How to CHOOSE THE RIGHT Machine Learning MODEL?
21:11
Python ERRORS: How to Fix Them EASILY?
51:41
Learn Machine Learning: What to do now??? (30/30)
7:10
MODÈLE DE MACHINE LEARNING - Covid19 (29/30)
36:52
DATA PRE-PROCESSING with Python (28/30)
44:56
EXPLORATORY DATA ANALYSIS - SOLUTIONS (27/30)
1:06:13
DATA SCIENCE AND WORKING APPROACH (26/30)
16:57
ENSEMBLE LEARNING : BAGGING, BOOSTING et STACKING (25/30)
25:57
APPRENTISSAGE NON-SUPERVISÉ avec Python (24/30)
41:13
FEATURE SELECTION with SKLEARN (23/30)
26:06
CORONAVIRUS (COVID-19): ARTIFICIAL INTELLIGENCE FINDS THE VACCINE?
21:00
SKLEARN IMPUTE: DATA CLEANING
12:02
SKLEARN ADVANCED PIPELINE
14:00
PYTHON SKLEARN PRE-PROCESSING + PIPELINE (22/30)
37:43
Sklearn make_scorer tutorial: Create your own metrics.
13:11
REGRESSION METRICS in DATA SCIENCE (Coefficient of Determination, Squared Error, etc.)
18:01
SKLEARN PYTHON CROSS-VALIDATION (Techniques explained in French)
21:11
PYTHON SKLEARN -  MODEL SELECTION : Train_test_split, Cross Validation, GridSearchCV (21/30)
21:49