Milos Todorov PhD, University professor and data scientist

• 🔭 I’m currently working on faculty

• 🌱 I’m currently learning ML algortihms

• 📫 How to reach me milos.todorov82@gmail.com

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PyProgramSoilMoisturePrediction

This repository contains a Python program developed by student Pavlović Marko. The application of the machine learning algorithm for predicting soil moisture is presented. File name is "final.ipynb"

Input datasets

The Excel table includes columns detailing measurements from a meteorological station situated near Novi Sad, Serbia. This weather station features an extensive array of sensors. The sensors quantify six features, which correspond to variables in an Excel data frame: SM1 (soil moisture), AT1 (air temperature), AH1 (air humidity), WS1 (wind speed), WD1 (wind direction), and PP1 (precipitation). The Excel spreadsheet is excluded from this repository due to data protection considerations.

Dependencies

For running program the following packages are required:

• [pandas]
• [sklearn]
• [xgboost]
• [optuna]
• [matplotlib.pyplot]
• [statsmodels]
• [seaborn]
• [os]

Workmates

On this project I have worked with:

• [Marko Pavlovic]
• [Ninoslava Tihi]
• [Srdjan Popov]
• [Filip Kokalj]