Zrn (@Zarina-dev)
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Zarina-dev

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1

Purchase-prediction

It is supervised machine learning project. I build a model which predicts whether client do purchase or not
Jupyter Notebook
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2

XRay-image-Normal-Pneumonia-detection

Pnuemonia Normal detection by using XRay images. Got image datas from kaggle(link is given in sources.txt file) also normal xray images from other site (also link is given) in order to avoid data disbalancing.
Python
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3

Home-Price-Competition

Accuracy 89%, the first application for the competition is completed (1997/4386)! In fact, this project is valuable to me because it made me feel more estimable because I started working on this project 3 months ago and was only able to achieve only 1% accuracy. My methods were also at the very initial stage, sometimes I could not understand what was happening. As a result, I just stopped it. But today I wanted to test myself, how I could improve myself. When I finished, I compared everything and was very proud of myself. Because the difference is big (that time and today). I will keep to grow and learn! I'm really happy ^^ [ Notice! ] : real submission part starts from middle of page where written "2nd trial after 3 monthes"
Jupyter Notebook
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