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power-bi-les-fondamentaux

Microsoft Power BI est un service de Business Intelligence proposé par Microsoft consistant en un ensemble de logiciels, d'applications et de connecteurs qui permettent de transformer l'amas des informations émanant de différentes sources et de les unifier en visuels vivants et interactifs. Les sources d'informations pour Microsoft Power BI peuvent être des fichiers Excel comme ils peuvent être des entrepôts de données (Data Warehouse) locaux ou des données sur le Cloud. L'objectif final de Power BI est de connecter toutes ses centres de données, de schématiser et de visualiser l'information pour en retirer l'important pour une décision bien réfléchie toute en permettant le partage facile de ces rapports décisionnels sur tout les niveaux de l'entreprise.

powerbi

powerbiavancedax

premier-avec-elixir-react

projet-batch

projet-php

projetcsharp

Ce projet représente l'ensemble de nos TP et TD de semestre 1 L2 DSI à l'ISET Djerba 2018-2019

projetfinal

projetopensource

projetphp

projetyii

psr

psr-0

push_notification_flutter_firebase

py

Repository to store sample python programs for python learning

pyneng-examples-exercises-en

Examples and exercises from the free ebook "Python for Network Engineers"

python

This repository helps you understand python from the scratch.

python-1

All Algorithms implemented in Python

python-data-analysis

Load, manipulate, and select data using numpy, as well as understand the fundamental data types in the numpy ecosystem Show the benefits of vectorization with numpy data Apply regular expressions to string data Demonstrate, at a high level, how regular expression pattern matching is expressed.Demonstrate how the series class builds on top of numpy datatypes Remember that the series class is a numpy array Demonstrate the basics of how to query a series structure Remember the dataframe as the principle data science structure Define the various features of a dataframe Demonstrate what an axis is in relation to dataframes Demonstrate the difference between the series and dataframe classes Create and use pandas DataFrames to represent raw data.Create and use pandas DataFrames to represent raw data.In this week of the course you'll be introduced to a variety of statistical techniques such a distributions, sampling and t-tests. The week ends with two discussions of science and the rise of the fourth paradigm -- data driven discovery.

python-interf

python-plotting

La représentation des données en python (Programmation Python, Visualisation des données (DataViz) Matplotlib, seaborn)

python-sacko

Python is an interpreted high-level general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.[31]

python-text-mining

In order to be successful in this course, you will need to know how to program in Python. The expectation is that you have completed the first three courses in this Applied Data Science with Python series, specifically Course 1 on Introduction to Data Science in Python and Course 3 on Applied Machine Learning in Python, so that you are familiar with the numpy and pandas Python libraries for data manipulation, and scikit-learn toolkit for machine learning algorithms.

pythonsklearn

pythonspecialmachinelearning

r

rapport

Mon rapport de stage

react

react-native-elements

Cross Platform React Native UI Toolkit

react-typescript