Laby Damaro CAMARA's repositories
advanced-computer-vision-with-tensorflow
Computer vision advenced tensorflow program
computer_vision_lab
my all lab in computer vision
data_science_lab
Once you’ve completed the 8 lab projects, you will be able to source data, summarize it in statistics and visualizations, and model trends that power decision making at the business level. With your well-recognized Credly badge, you will be armed to let employers and colleagues know of your impressive achievement. The more you actively engage with your peers, the more you will get from the course. We know some of this material is super hard; we encourage you to stick with it, to ask for help, and to make the most of all the coursework and projects have to offer. In exchange for this free opportunity, we will be periodically asking you for your feedback. Please take providing your response seriously as it is the best tool we’ve got to improve the curriculum and learning experience. We are relying on you to help us make the course the best it can be well into the future.
statistique_pour_datascience
Cette dernière consistant à ressembler et analyser de grandes quantités de données structurées ou non pour en tirer des informations pertinentes. En effet, les données sont des informations brutes que les Data Scientists vont essayer d'exploiter.
Statistique_pour_la_datascience
Dans cette formation vous trouverez entre autres : la statistique descriptive, la visualisation des données, les probabilités, les méthodes de Rééchantillonnage de données, les techniques de simulation, la statistique inférentielle, etc
100-Days-Of-ML-Code
100 Days of ML Coding
Applied-AI-Lab-Deep-Learning-for-Computer-Vision
Computer Vision Projet On WQU
architectureJEE
Mes formations sur les architecture JEE
data_analysis_with_python
Welcome to Data Science with Python. In this course, you will go over everything from how to load data to building basic machine learning models. Each level in the pyramid summarises concepts you will learn in each module.
formation-cspro
Formation complete en CSPRO
formation-spring
Mon auto formation Spring
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
nest_project
Mon projet API en NESTJS
vaderSentiment
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
yello-ecom-v1
Un service en spring boot