Bouguedra-Adem

-Data-Science-Decison-Tree-Regression

use the decision tree model for predict a new level ( Position_Salaries Data set)

AI4D-Predict-the-Global-Spread-of-COVID-19

This challenge asks data scientists on Zindi to accurately predict the spread of COVID-19 around the world over the next few months. Solutions will be evaluated against future data.

Data-Analysis-With-AFCM

application of the ACM method on the Hobbies dataset using the R language

GreenTechFrontEnd

GreenTechRestApi

Prohack-Hacakthon-by-Mckensy-

Predict index of well-being of intergalactic species in the best possible way.And based on this prediction, maximize this index, through optimized allocation of additional energy from recently discovered star

REST_API-forecasting-demand-ride-hailing-with-Flask

deploy forecasting demand ride hailing PyTorch model using flask API

Soft-MarketPlace

Spot-the-Mask-Challenge-by_ZindiWeekendz

Face masks have become a common public sight in the last few months. The Centers for Disease Control (CDC) recently advised the use of simple cloth face coverings to slow the spread of the virus and help people who may have the virus and do not know it from transmitting it to others. Wearing masks is broadly recognised as critical to reducing community transmission and limiting touching of the face. In a time of concerns about slowing the transmission of COVID-19, increased surveillance combined with AI solutions can improve monitoring and reduce the human effort needed to limit the spread of this disease. The objective of this challenge is to create an image classification machine learning model to accurately predict the likelihood that an image contains a person wearing a face mask, or not. The total dataset contains 1,800+ images of people either wearing masks or not. Your machine learning solution will help policymakers, law enforcement, hospitals, and even commercial businesses ensure that masks are being worn appropriately in public. These solutions can help in the battle to reduce community transmission of COVID-19.

Uber-Movement-SANRAL-Cape-Town-Challenge

The aim of this challenge is to forecast if an incident will occur for each hour of each day per 500m road segment along the major roadways in Cape Town for 1 January 2019 to 31 March 2019.

Bouguedra-Adem/Prohack-Hacakthon-by-Mckensy-

Predict index of well-being of intergalactic species in the best possible way.And based on this prediction, maximize this index, through optimized allocation of additional energy from recently discovered star

Bouguedra-Adem/Spot-the-Mask-Challenge-by_ZindiWeekendz

Face masks have become a common public sight in the last few months. The Centers for Disease Control (CDC) recently advised the use of simple cloth face coverings to slow the spread of the virus and help people who may have the virus and do not know it from transmitting it to others. Wearing masks is broadly recognised as critical to reducing community transmission and limiting touching of the face. In a time of concerns about slowing the transmission of COVID-19, increased surveillance combined with AI solutions can improve monitoring and reduce the human effort needed to limit the spread of this disease. The objective of this challenge is to create an image classification machine learning model to accurately predict the likelihood that an image contains a person wearing a face mask, or not. The total dataset contains 1,800+ images of people either wearing masks or not. Your machine learning solution will help policymakers, law enforcement, hospitals, and even commercial businesses ensure that masks are being worn appropriately in public. These solutions can help in the battle to reduce community transmission of COVID-19.

Bouguedra-Adem/GreenTechFrontEnd

Bouguedra-Adem/GreenTechRestApi

Bouguedra-Adem/REST_API-forecasting-demand-ride-hailing-with-Flask

deploy forecasting demand ride hailing PyTorch model using flask API

Bouguedra-Adem/-Data-Science-Decison-Tree-Regression

use the decision tree model for predict a new level ( Position_Salaries Data set)

Bouguedra-Adem/DataCamp

DataCamp data-science courses

Bouguedra-Adem/SaidaliyatiVersion2

Bouguedra-Adem/TpTeamPlayer

Bouguedra-Adem/AI4D-Predict-the-Global-Spread-of-COVID-19

This challenge asks data scientists on Zindi to accurately predict the spread of COVID-19 around the world over the next few months. Solutions will be evaluated against future data.

Bouguedra-Adem/Uber-Movement-SANRAL-Cape-Town-Challenge

The aim of this challenge is to forecast if an incident will occur for each hour of each day per 500m road segment along the major roadways in Cape Town for 1 January 2019 to 31 March 2019.

Bouguedra-Adem/-Capstone-Project-Data-science-

Final project of IBM Data Science Professional Certificate

Bouguedra-Adem/1ST-PLACE-South-African-COVID-19-Vulnerability-Map-Hackathon

This Challenge aims to infer important COVID-19 public health risk factors from outdated data in South Africa

Bouguedra-Adem/AI-HACK-Tunisia-2019

Flight delays hurt airlines, airports, and passengers. Their prediction is crucial during the decision-making process for all players of commercial aviation. So, the development of accurate prediction models for flight delays will be very beneficial to prevent delays in such cases based on the airlines flight data.

Bouguedra-Adem/AirDecartes_API

Bouguedra-Adem/AirDecartes_AppMobile

Bouguedra-Adem/Airdecartes_Dashboard

Bouguedra-Adem/AngularHTTpClient

Bouguedra-Adem/COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Bouguedra-Adem/Data-Science--Cheat-Sheet

Cheat Sheets

Bouguedra-Adem/Fille-D-attente

Calculation of performance characteristics and simulation of waiting systems

Bouguedra-Adem/HashCode_2020

Bouguedra-Adem/pdsnd_github

GitHub project (Project 3) repository for PDSND

Bouguedra-Adem/pharmacyWorkEnviroment

Projet mobile pour la gestion des pharmacies

Bouguedra-Adem/Sila-pharma

Bouguedra-Adem/ST_Forcast_API

this API allows you to get results by 'ST_FORCAST model' and all this via the provided URLs .

Bouguedra-Adem/The-best-Classifer

using historical dataset from previous loan applications, clean the data, and apply different classification algorithm on the data such as (KNN , Decision Tree ,Logistic Regression , SVM).

Bouguedra-Adem/training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Bouguedra-Adem/urban-audio-classifier

Urban sounds classification with Covnolutional Neural Networks

Bouguedra-Adem/Using-The-Navigation-Architecture-Component-in-Android-Jetpack-Kotlin-