Machine Learnia

▶️ [REPLAY] - La carte de l'IA | Partie 2

▶️ [REPLAY] - The AI map | Part 2

▶️ [REPLAY] - La carte de l'IA | Partie 1

▶️ [REPLAY] - The AI Map | Part 1

RÉSEAU DE NEURONES PROFOND - DEEP LEARNING 10

DEEP NEURAL NETWORK - DEEP LEARNING 10

PROGRAMMER UN RÉSEAU DE NEURONES à 2 COUCHES - DEEP LEARNING 9

PROGRAMMING A 2-LAYER NEURAL NETWORK - DEEP LEARNING 9

La BACK-PROPAGATION - DEEP LEARNING 8

BACK-PROPAGATION - DEEP LEARNING 8

RÉSEAU DE NEURONES (2 COUCHES) - DEEP LEARNING 7

NEURAL NETWORK (2 LAYERS) - DEEP LEARNING 7

NEURONE ARTIFICIEL - CHAT VS CHIEN - DEEP LEARNING 6

ARTIFICIAL NEURON - CAT VS DOG - DEEP LEARNING 6

PROGRAMMATION d'un NEURONE ARTIFICIEL (DEEP LEARNING 5)

PROGRAMMING an ARTIFICIAL NEURON (DEEP LEARNING 5)

La VECTORISATION des équations - DEEP LEARNING (04)

The VECTORIZATION of equations - DEEP LEARNING (04)

LES GRADIENTS D'UN NEURONE - DEEP LEARNING (03)

THE GRADIENTS OF A NEURONE - DEEP LEARNING (03)

LE PERCEPTRON - DEEP LEARNING (02)

FORMATION DEEP LEARNING COMPLETE (2021)

Machine Learnia, La suite commence ici.

Machine Learnia, The sequel starts here.

Comment CHOISIR LE BON MODÈLE de Machine Learning ?

How to CHOOSE THE RIGHT Machine Learning MODEL?

ERREURS Python : Comment les corriger FACILEMENT ?

Python ERRORS: How to Fix Them EASILY?

MODÈLE DE MACHINE LEARNING - Covid19 (29/30)

MACHINE LEARNING MODEL - Covid19 (29/30)

PRÉ-TRAITEMENT DE DONNÉES avec Python (28/30)

DATA PRE-PROCESSING with Python (28/30)

EXPLORATORY DATA ANALYSIS - CORRIGÉ (27/30)

EXPLORATORY DATA ANALYSIS - SOLUTIONS (27/30)

DATA SCIENCE ET DÉMARCHE DE TRAVAIL (26/30)

DATA SCIENCE AND WORKING APPROACH (26/30)

ENSEMBLE LEARNING : BAGGING, BOOSTING et STACKING (25/30)

ENSEMBLE LEARNING: BAGGING, BOOSTING and STACKING (25/30)

APPRENTISSAGE NON-SUPERVISÉ avec Python (24/30)

UNSUPERVISED LEARNING with Python (24/30)

FEATURE SELECTION avec SKLEARN (23/30)

FEATURE SELECTION with SKLEARN (23/30)

CORONAVIRUS (COVID-19) : L'INTELLIGENCE ARTIFICIELLE TROUVE LE VACCIN ?

CORONAVIRUS (COVID-19): ARTIFICIAL INTELLIGENCE FINDS THE VACCINE?

SKLEARN IMPUTER : NETTOYAGE DE DONNÉES

SKLEARN IMPUTE: DATA CLEANING

SKLEARN PIPELINE AVANCÉE

SKLEARN ADVANCED PIPELINE

PYTHON SKLEARN PRE-PROCESSING + PIPELINE (22/30)

Sklearn make_scorer tutoriel : Créer vos propres métriques.

Sklearn make_scorer tutorial: Create your own metrics.

MÉTRIQUES de RÉGRESSIONS en DATA SCIENCE (Coefficient de Détermination, Erreur Quadratique, etc... )

REGRESSION METRICS in DATA SCIENCE (Coefficient of Determination, Squared Error, etc.)

CROSS-VALIDATION SKLEARN PYTHON (Techniques expliquées en Français)

SKLEARN PYTHON CROSS-VALIDATION (Techniques explained in French)

PYTHON SKLEARN - MODEL SELECTION : Train_test_split, Cross Validation, GridSearchCV (21/30)

PYTHON SKLEARN: KNN, LinearRegression et SUPERVISED LEARNING (20/30)

SEABORN PYTHON TUTORIEL PAIRPLOT etc : Les PLUS BEAUX GRAPHIQUES en 1 Ligne de Code ! (19/30)

SEABORN PYTHON TUTORIAL PAIRPLOT etc: The MOST BEAUTIFUL GRAPHICS in 1 Line of Code! (19/30)

PANDAS PYTHON Tutoriel Français - Time Series (18/30)

PANDAS PYTHON Tutorial French - Time Series (18/30)

PANDAS PYTHON Français - Introduction + Analyse du Titanic (17/30)

PANDAS PYTHON French - Introduction + Analysis of the Titanic (17/30)

SCIPY PYTHON Tutoriel - Optimize, Fourier, NdImage (16/30)

SCIPY PYTHON Tutorial - Optimize, Fourier, NdImage (16/30)

MATPLOTLIB - Graphiques Importants (15/30)

MATPLOTLIB - Important Graphs (15/30)

MATPLOTLIB - Les Bases ! (14/30)

MATPLOTLIB - The Basics! (14/30)

PYTHON NUMPY BROADCASTING (13/30)

PYTHON NUMPY STATISTIQUES et MATHÉMATIQUES (12/30)

PYTHON NUMPY STATISTICS and MATHEMATICS (12/30)

PYTHON NUMPY Indexing Slicing Masking (11/30)