The aim of this project is to provide insights which may help decision making process in terms of release timing, genre selection and give clear understanding about the interaction of production budget, domestic/worldwide gross, domestic/worldwide ROI ratio, popularity and vote average of the movies for the new companies/investors in the movie industry.
In this project, the [Chest X-Ray Images (Pneumonia)] dataset on Kaggle is chosen to work on. The aim of this project is to predict whether the X-Ray images are belong to a healthy person or a pneumonia patient by applying neural network models.
For the last six months, all people around the world got affected by Covid-19 in many ways. Other than losing the beloved ones, people lost jobs, kids couldn’t go to school, domestic violence increased incredibly, suicide rates escalated… How could experts can analyse public’s mental health and improve it?
In healthcare sector, it is believed that human-caused errors are the primary cause of negative experiences/events. To prevent medical human errors and improve patient safety many approaches and methods developed and combined with different fields such as computer science.
Most of the time applying and comparing machine learning models takes plenty of time. To simplify this process and avoid confusion, the data scientists show the results in small dataframes.