Researchers have carried out stock predictions in various ways. Stock is one type of investment that is quite attractive to investors. However, the risk of relatively large stock price fluctuations ...

Data Science & Machine Learning Personal Projects This repository contains a collection of Jupyter Notebooks showcasing implementations and explorations of fundamental topics in data science, machine ...

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, ...

Explainable boosted linear regression for time series forecasting. Igor Ilic, Berk Gorgulu, Mucahit Cevik, Mustafa Gokce Baydogan. About. A python library to build Model Trees with Linear Models at ...

The diagram in Figure 2 gives you a rough idea of support vector regression for a scenario where there is just one predictor variable x. Each dot is a training data item. The red line is the linear ...

For example, a review of studies on machine learning-based models showed that 125 of 152 studies published in general medical journals did not include a sample size justification. 9, 10 A similar ...

Wind power is a challenge in power generation. The tortuous process stages in generating voltage become a significant problem to be solved properly. One indicator of the process is the determination ...

Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is linear regression in machine learning along ...