Project Description
Our project analyse of different classification algorithms for given specific dataset, then predict the label according to the accuracy scores of the algorithms. Data consist of 2 seperate files "Train.csv" and "Test.csv". In order to analyse algorightms we divide train data file into train and test datas.
Language : Python
Version : 3.6.9
Structure
- adsuccesdata.zip -> dataset
- test.csv -> unzipped from adsuccesdata.zip
- train.csv -> unzipped from adsuccesdata.zip
- Dm_project.py -> main file
- documents -> images and pdf outputs
- documents/result.csv -> prediction result of the most accurate algorithm
- Data_Mining_Latex.zip -> latex file and images
- requirements.txt
Project Tasks
