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Python for AI and Data Analysis
Python for AI and Data Analysis
Knygos.lt klubas Knygos.lt nariams
78,32 €
-30%
Įprastai
111,89 €
  • Planuojame turėti už 158 d.
Not a programmer by trade, but still want to use Python and AI in your day-to-day work? No problem! Learn how to use Python to analyze data, automate tasks, and work with models without getting bogged down by unnecessary busy work. You'll learn about key tools like Visual Studio Code and Jupyter Notebooks and then jump straight into data analysis and visualization with NumPy, Pandas, and Matplotlib. Hands-on examples will have you learning to clean, filter, and transform data, perform calculati…

Python for AI and Data Analysis (el. knyga) (skaityta knyga) | knygos.lt

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Aprašymas

Not a programmer by trade, but still want to use Python and AI in your day-to-day work? No problem! Learn how to use Python to analyze data, automate tasks, and work with models without getting bogged down by unnecessary busy work. You'll learn about key tools like Visual Studio Code and Jupyter Notebooks and then jump straight into data analysis and visualization with NumPy, Pandas, and Matplotlib. Hands-on examples will have you learning to clean, filter, and transform data, perform calculations, and create charts and interactive plots-right out of the gate!

Highlights include:

1)Python fundamentals

2)Data analysis

3)Data visualization

4)Machine learning

5)Natural language processing

6)Text and sentiment analysis

7)Image recognition and classification

8)APIs and web scraping

9)Database access

10)Task automation

Knygos.lt klubas
Knygos.lt nariams
78,32 €
-30%
Įprastai
111,89 €
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Daugiau

Not a programmer by trade, but still want to use Python and AI in your day-to-day work? No problem! Learn how to use Python to analyze data, automate tasks, and work with models without getting bogged down by unnecessary busy work. You'll learn about key tools like Visual Studio Code and Jupyter Notebooks and then jump straight into data analysis and visualization with NumPy, Pandas, and Matplotlib. Hands-on examples will have you learning to clean, filter, and transform data, perform calculations, and create charts and interactive plots-right out of the gate!

Highlights include:

1)Python fundamentals

2)Data analysis

3)Data visualization

4)Machine learning

5)Natural language processing

6)Text and sentiment analysis

7)Image recognition and classification

8)APIs and web scraping

9)Database access

10)Task automation

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