Pinned Repositories
Data-Science-Cheatsheet
A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Home_Credit_BackEnd
API for the Home Credit Application
Home_Credit_EDA
Notebook containing the Exploratory Data Analysis
Home_Credit_FrontEnd
Home Credit Application developped using Streamlit
ipyplot
IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
OC_Project_n_2_Analysez_des_donnees_de_systemes_educatifs
OC_Project_n_3_Concevez_une_application_au_service_de_la-_sante_publique
OC_Project_n_4_Anticipez_les_besoins_en_consommation_electrique_de_batiments
OC_Project_n_5_Segmentez_des_clients_d_un_site_e-commerce
OC_Project_n_6_Classifiez_automatiquement_des_biens_de_consommation
mohamedsidina's Repositories
mohamedsidina/OC_Project_n_2_Analysez_des_donnees_de_systemes_educatifs
mohamedsidina/OC_Project_n_4_Anticipez_les_besoins_en_consommation_electrique_de_batiments
mohamedsidina/OC_Project_n_6_Classifiez_automatiquement_des_biens_de_consommation
mohamedsidina/OC_Project_n_8_Deployez_un_modele_dans_le_cloud_
mohamedsidina/OC_Project_n_5_Segmentez_des_clients_d_un_site_e-commerce
mohamedsidina/OC_Project_n_3_Concevez_une_application_au_service_de_la-_sante_publique
mohamedsidina/Home_Credit_FrontEnd
Home Credit Application developped using Streamlit
mohamedsidina/Home_Credit_BackEnd
API for the Home Credit Application
mohamedsidina/Home_Credit_EDA
Notebook containing the Exploratory Data Analysis
mohamedsidina/unsupervised-predict-streamlit-template
Streamlit-based recommender system for the EDSA Unsupervised Sprint
mohamedsidina/Data-Science-Cheatsheet
A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.
mohamedsidina/ipyplot
IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.