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Undergrad Thesis on Machine Learning

Topic: Prediction of Crops Production using Machine Learning Algorithms

Abstract:  
  
The purpose of this study is to predict crop production using machine learning.  
The paper focuses on predicting the production of crops depending on temperature,  
wind speed, humidity, crop type, and harvestable area.  
  
We have used various machine learning models and compared the results.  
Results were compared against five models, Support Vector Machine (SVM),  
Naive Bayes, Multiple Linear Regression, K-Nearest Neighbor (KNN) and  
Random Forest. Out of which Random Forest yielded the highest accuracy score.  

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Name Description Link
Documents All the related documents Click
Dataset Dataset used in the thesis Click
Jupyter Notebooks All the algorithms Click

Contributors:

Name ID Profile
Md. Jim Ar Rafi 181400083 JimArRafi10
A.S.M Imrul Kayes Bhuiyan 181400103 asmimrul007
Raihan Munim 181400138 raihanrms

Feel free to contact any of us if you have any questions.