Python for Data Science

If you are tired of reading without understanding and want to learn the value of big data and artificial intelligence simply and quickly, then keep reading...



Today 91% of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey.
Do you know why? The reason is that they have no notions of artificial intelligence, so future programmers will no longer find work without having knowledge of this particular field that is constantly evolving.
Artificial intelligence has made great strides over the years, and by 2024 it is estimated that 77% of programmers will have to be experts in this field to implement it in the various programming languages.
So if you are such a programmer or aspirant and ignore the importance that Python data analysis and artificial intelligence have in our future, then you will be cut off from the business world.
The solution? You need to learn these things and, above all, do it in a clear, simple, and practical way. The goal of Python for Data Science is to give you an advanced level training on Python, artificial intelligence, and deep machine learning as quickly as possible. What are some points you will learn in this book? - Artificial Intelligence: How Does it Work? How is it Used? - The Key Elements of Machine Learning - Machine Learning vs Deep Learning - Data Science vs Business Intelligence - The Data Science Lifecycle - The Value of Big Data Explained to a Child - 4 Tips for Data Cleaning and Organizing Your Data - Python Data Analysis 360° - 6 Different Machine Learning Algorithms - How to Handle Data Visualizations Python for Data Science is perfect for those who already look to the future and want to ensure a job for the next 20 years by beating the competition, even if you know nothing about computer codes and you have never turned on a computer in your life.
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