Udvidet returret til d. 31. januar 2025

Data Science with Python

Bag om Data Science with Python

What is Data Science?"Data Science is about extraction, preparation, analysis, visualization, and maintenance of information. It is a cross-disciplinary field which uses scientific methods and processes to draw insights from data. "Tools for Data ScienceData Scientists use traditional statistical methodologies that form the core backbone of Machine Learning algorithms. They also use Deep Learning algorithms to generate robust predictions. Data Scientists use the following tools and programming languages: PythonTable of ContentsChapter 1 Introduction to Data Science for PythonChapter 2 Python Data Science Environment Setup .Chapter 3 Python Matplotlib Chapter 4 Python Data Cleansing and Data Operations Chapter 5 Processing CSV, JSON and XLS DataChapter 6 Relational Database with Python Chapter 7 NoSQL Database in Python ...Chapter 8 Python Stemming and Lemmatization .Chapter 9 Aggregation and Data Wrangling with Python .Chapter 10 Create Python Scatter Plot & Python BoxPlot.Chapter 11 Bubble, 3D Charts with Properties of Chart ..Chapter 12 Python Geographic Maps & Graph Data .Chapter 13 Python Time Series Analysis Chapter 14 Measuring Central Tendency & VariabilityChapter 15 Normal, Binomial, Poisson, Bernoulli DistributionsChapter 16 Python p-Value, Correlation, T-test, KS Test Chapter 17 Chi-Square Test In Python ..Chapter 18 Heat maps with Python .Chapter 19 Histogram and Bar Plot with Python

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9798615637353
  • Indbinding:
  • Paperback
  • Sideantal:
  • 214
  • Udgivet:
  • 19. februar 2020
  • Størrelse:
  • 152x229x12 mm.
  • Vægt:
  • 318 g.
  • BLACK NOVEMBER
Leveringstid: 2-3 uger
Forventet levering: 10. december 2024

Beskrivelse af Data Science with Python

What is Data Science?"Data Science is about extraction, preparation, analysis, visualization, and maintenance of information. It is a cross-disciplinary field which uses scientific methods and processes to draw insights from data. "Tools for Data ScienceData Scientists use traditional statistical methodologies that form the core backbone of Machine Learning algorithms. They also use Deep Learning algorithms to generate robust predictions. Data Scientists use the following tools and programming languages: PythonTable of ContentsChapter 1 Introduction to Data Science for PythonChapter 2 Python Data Science Environment Setup .Chapter 3 Python Matplotlib Chapter 4 Python Data Cleansing and Data Operations Chapter 5 Processing CSV, JSON and XLS DataChapter 6 Relational Database with Python Chapter 7 NoSQL Database in Python ...Chapter 8 Python Stemming and Lemmatization .Chapter 9 Aggregation and Data Wrangling with Python .Chapter 10 Create Python Scatter Plot & Python BoxPlot.Chapter 11 Bubble, 3D Charts with Properties of Chart ..Chapter 12 Python Geographic Maps & Graph Data .Chapter 13 Python Time Series Analysis Chapter 14 Measuring Central Tendency & VariabilityChapter 15 Normal, Binomial, Poisson, Bernoulli DistributionsChapter 16 Python p-Value, Correlation, T-test, KS Test Chapter 17 Chi-Square Test In Python ..Chapter 18 Heat maps with Python .Chapter 19 Histogram and Bar Plot with Python

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