Emirhan bulut
My Artificial Intelligence Projects
Machine Learning Software Predicting Germany's Economic Development from 2015 to 2019
https://github.com/emirhanai/Machine-Learning-Software-Predicting-Germany-s-Economic-Development-from-2015-to-2019
0 forks.
4 stars.
0 open issues.
Recent commits:
I developed 2 machine learning software that predict and classify ozone day and non-ozone day. The working principle of the two is similar but there are differences. I got the dataset from ics.icu. Each software has a different mathematical model, Gaussian RBF and Linear Kernel, and classifications are visualized in different ways. I would be happy to present the software to you!
https://github.com/emirhanai/Classification-thanks-to-the-SVM-model-with-7-years-of-ozone-data-with-Machine-Learning
1 forks.
4 stars.
0 open issues.
Recent commits:
Machine Learning Software Predicting the Number of COVID-19 Cases, Tests, Deaths and Recovers in Turkey
https://github.com/emirhanai/Machine-Learning-Software-Predicting-the-Number-of-COVID-19-Cases-Tests-Deaths-and-Recovers-in-Tur
0 forks.
5 stars.
0 open issues.
Recent commits:
Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties
https://github.com/emirhanai/Machine-Learning-Software-that-predicts-planets-based-on-their-distance-from-the-sun-number-of-sate
0 forks.
4 stars.
0 open issues.
Recent commits:
Car Evulation KNN of Machine Learning Software
https://github.com/emirhanai/Car-Evulation-KNN-of-Machine-Learning-Software
1 forks.
3 stars.
0 open issues.
Recent commits:
I developed Machine Learning Software with multiple models that predict and classify AID362 biology lab data. Accuracy values are 99% and above, and F1, Recall and Precision scores are average (average of 3) 78.33%. The purpose of this study is to prove that we can establish an artificial intelligence (machine learning) system in health. With my regression model, you can predict whether it is Inactive or Inactive (Neural Network or Extra Trees). In classification (Neural Network or Extra Trees), you can easily classify the provided data whether it is Inactive or Active.
https://github.com/emirhanai/AID362-Bioassay-Classification-and-Regression-Neuronal-Network-and-Extra-Tree-with-Machine-Learnin
0 forks.
3 stars.
0 open issues.
Recent commits:
Machine Learning Software for Estimating Average Wind Speed ​​as a result of Air Pressure and Temperature Measurement (Unsupervised Learning – Cluster Method)
https://github.com/emirhanai/Machine-Learning-Software-for-Estimating-Average-Wind-Speed-as-a-result-of-Air-Pressure-and-Temper
1 forks.
4 stars.
0 open issues.
Recent commits:
Estimated annual CO2 emissions from diesel generators at mobile or cell towers
https://github.com/emirhanai/Estimated-annual-CO2-emissions-from-diesel-generators-at-mobile-or-cell-towers
0 forks.
14 stars.
0 open issues.
Recent commits:
Scope of Project
Classification and analysis of data
Making predictions for future years from the data
Data processing based on artificial intelligence principles
Making predictions with data with machine learning, deep learning a sub-branch of artificial intelligence
Tesla Car Range, Base Price and Precise Price Prediction – Machine Learning
https://github.com/emirhanai/Tesla-Car-Range-Base-Price-and-Exact-Price-Prediction—Machine-Learning
0 forks.
2 stars.
0 open issues.
Recent commits:
Project Summary
I can adjust the classification of your data using machine learning. I am improving myself on this. Accurate predictions can be made by making more moderate classifications with the decision tree, Bagging algorithm, ADA algorithm, Random Forest, Neural Network or etc. methods.
I am also improving myself in the field of supervised learning or unsupervised learning and neural networks.
I will be glad to give you a professional in artificial intelligence (machine learning and deep learning).
