One of the most significant scientific computing libraries for Python is called NumPy. With an in-depth discussion of complex concepts, this book shows you how to conduct complex operations at the expert level.
You will become familiar with linear algebra ideas to conduct vector and matrix math operations, starting with NumPy's arrays and functions. Predictive modeling, exploratory data analysis (EDA), and data processing will all be concepts you fully comprehend and put into practice.
In order to learn how to utilize NumPy statistics to investigate US housing data and create a predictive model using simple and multiple linear regression approaches, you will then begin working on real-world cases.
- Grasp all aspects of numerical computing and understand NumPy
- Explore examples to learn exploratory data analysis (EDA), regression, and clustering
- Access NumPy libraries and use performance benchmarking to select the right tool