alessandroibrahim99

alessandroibrahim99

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alessandroibrahim99's repositories

flask_weather

☀️ ☔️ Flask app to auto-detect local weather based off of user's IP address.

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Weather-web-app

Group project collaborated with @satin-04 , @pm-sharma

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amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

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App_VirusForecaster

Covid-19 Forecaster Web App

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Black-Friday-Sales-Prediction-Web-App

A web app containing 5 models that predict the sales on black friday dataset. This is a practice problem on Analytics Vidhya.

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blog-code-snippets

Code snippets used in tutorials on my blog.

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CustomerSegmentation

Analysis for Customer Segmentation

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data-storyteller

Automated tool for data story telling

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devtraining-needit-paris

This repository is used by the developer site training content, Paris release. It is used for the Build the NeedIt App, Scripting in ServiceNow, Application Security, Importing Data, Automating Application Logic, Flow Designer, REST Integrations, Reporting and Analytics, Domain Separation, Mobile Applications, and Context-sensitive Help courses.

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forecast

Amazon Forecast demo app

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Halo

Halo is a Weather App for Linux Desktops.

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Income-Prediction-Webapp

Flask based Web application for predicting the income of a person

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lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

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notebooks

A collection of Jupyter/IPython notebooks

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notebooks-1

atoti notebooks gallery

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sales-forecast-ml

Web app to predict sales of a new product :chart_with_upwards_trend:

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Stock_Pridiction_FlaskAPP

This repo enables beginner investors to predicting the stock prices of US market.

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streamlit_forecasting_app

This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

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sweetviz

Visualize and compare datasets, target values and associations, with one line of code.

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warren

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

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