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This repository contains the code for a sales prediction model developed by analyzing and cleaning data from IronHack. Several algorithms were compared in order to build the best possible model for predicting sales.

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data-analysis machine-learning python sales-prediction jupyter-notebook pandas scikit-learn numpy ironhack lightgbm

ironkaggle's Introduction

Welcome to my GitHub repository! This repository contains some of my :

  • Data Analysis projects in Python
  • Other projects in C# / .NET

Feel free to explore and if you have any questions or feedback, please don't hesitate to contact me.

Spotify Song Recommender with Streamlit

[This project] is a Spotify song recommender built with Streamlit. Given a user-selected song, the recommender suggests a song based on its cluster.

application-screen1 application-screen2

Fuel Consumption Comparison with Streamlit

[This project] compares the consumption of two fuels (E10 and SP98) based on various parameters, such as distance, speed, temperature, weather, and whether or not the AC is on. The project includes a Jupyter notebook for data cleaning and preparation, as well as a Streamlit application for displaying the results and comparing algorithms for regression and classification models.

You can see a running instance here.

Please note that it is deployed on Streamlit Cloud so the application could go in sleep mode and need some time to reload.

application-screen

Paper Shortage Analysis Repository

[This repository] contains data, code and applications related to the analysis of paper shortage situation in the year 2022. The data includes wood and paper import, export and freight data from the UN as well as forest related and COVID-19 data from other sources. The analysis includes visualization, modeling and prediction of paper, wood prices based on the available data.

You can see a running instance here.

Please note that it is deployed on Streamlit Cloud so the application could go in sleep mode and need some time to reload.

application-screen

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