Publisher's Synopsis
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Data Science is one of the major buzzwords in the business realm today. Most people know the value of gathering data. However, the real question is, what's the next step?
Keep in mind that data science is composed of various steps. It involves gathering the data and cleaning them if they come from more than a single source. You need to assess them, apply machine learning models and algorithms, and then present your findings from analysis with decent data visualizations.
That's what you will learn inside PYTHON FOR DATA SCIENCE: A GUIDE TO LEARN IN DEPTH HOW TO USE THIS PROGRAMMING LANGUAGE TO REORDER DATA WHILE REMAINING FOCUSED ON YOUR SPECIFIC PURPOSES. You will discover the crucial steps required to properly execute data science strategies and algorithms, which will help you sort through the data and see incredible results.
Here's a quick peek of what you will find inside this manual:
- Python for data science bases
- Statistics and probabilities
- Data science algorithms and models
- Neural network
- Deep learning vs. machine learning
- Practical codes and exercises to use Python
...And so much more!
By the end of this book, you will have the essential knowledge and skills to utilize machine learning algorithms to conduct thorough data analysis and extract relevant insights from unstructured data.
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