Зарегистрироваться
Восстановить пароль
FAQ по входу

Data&Code Academy. Python for Data Analysis: The Top Guide for Beginners to Discovering Data Science from Scratch, Data Analysis, Analytics & Machine Learning using Python with Business Cases (4 Books in 1)

  • Файл формата pdf
  • размером 5,25 МБ
  • Добавлен пользователем
  • Описание отредактировано
Data&Code Academy. Python for Data Analysis: The Top Guide for Beginners to Discovering Data Science from Scratch, Data Analysis, Analytics & Machine Learning using Python with Business Cases (4 Books in 1)
Independently published, 2020. — 230 p. — ISBN B08X2TQHNN.
Are You Looking For The Best Beginners Guide To Discovering Data Analysis And Analytics With Python?
Do You Want To Enter The World Of Data Science And How To Leverage Python For It?
Do Want To Get A Thorough Introduction To Machine Learning?
If yes, then this Guide is for you!
This is the Top Guide to learning Data Analysis & Analytics, Data Science and Machine Learning with 4 Manuscripts in 1 book:
Python for Data Analysis & Analytics
Data Science Core
Data Science Annex
Machine Learning Introduction.
A great opportunity: Simplicity, Best Order and Selection of topics to Learn Fast and Selected Practice Exercises and Examples.
In Manuscript 1 Python for Data Analysis & Analytics you’ll discover:
What Data Analysis is and why it is important
What are the different types of Data Analysis
What are the 6 key steps of the Data Analysis process that you should follow
What are the applications of Data Analysis and Analytics
How to set up the Python environment for Data Analysis
What are and how to use Python Data Structures
How to work with IPython/Jupyter Notebook
How to work with NumPy
How to visualize data with Matplotlib
What other visualization libraries are out there
In Manuscript 2 Data Science Core you’ll discover:
What is Data Science and what does it encompass
What are the 5 key steps of the Data Science process that you should follow
How to set up the Python environment for Data Science
How to work with Seaborn data visualization module
How to leverage the Scikit-Learn module for Machine Learning
How to leverage Data Science in the Cloud
In Manuscript 3 Data Science Annex you’ll discover:
What are the most important applications of Data Science
What are the most important Machine Learning Algorithms
Why is Big Data important and how to get the best out of it
How to leverage Neural Networks
What are the main Data Mining Techniques
And much more…
In Manuscript 4 Machine Learning Introduction you’ll discover
What is Machine Learning and what does it encompass
What are the 7 Steps of the Machine Learning Process
What are the different Machine Learning types
How is Machine Learning applied to the real world
What are the most important Python libraries for Machine Learning
And much more…
  • Чтобы скачать этот файл зарегистрируйтесь и/или войдите на сайт используя форму сверху.
  • Регистрация