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Udemy Course

Machine LearningBeginner
Machine Learning Project: Heart Attack Prediction Analysis
ProviderUdemy
Duration7.5 total hours
PricePaid
#AI#Udemy#Machine Learning#Python
About this Course
Machine Learning, python, statistics, data science, machine learning python, python data science, machine learning a-z, data scientist, r, python for data science |Hello there,Welcome to the “ Machine Learning Project: Heart Attack Prediction Analysis ” course.Machine Learning & Data Science - Boost your Machine Learning skills with a real hands-on heart attack prediction projectMachine learning describes systems that make predictions using a model trained on real-world data. For example, let's say we want to build a system that can identify if a cat is in a picture. We first assemble many pictures to train our machine learning model. During this training phase, we feed pictures into the model, along with information about whether they contain a cat. While training, the model learns patterns in the images that are the most closely associated with cats. This model can then use the patterns learned during training to predict whether the new images that it's fed contain a cat. In this particular example, we might use a neural network to learn these patterns, but machine learning can be much simpler than that.A machine learning course teaches you the techniques and concepts behind the predictive text, virtual assistants, and artificial intelligence. You can develop the foundational skills you need to advance to building neural networks and creating more complex functions through the Python and R programming languages. Machine learning training helps you stay ahead of new trends, technologies, and applications in this field.We have more data than ever before. But data alone cannot tell us much about the world around us. We need to interpret the information and discover hidden patterns. This is where data science comes in. Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysi
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