开发技术下载,Python下载列表第2613页

[Python] Machine Learning in Python(2015).pdf

说明： Chapter 1 The Two Essential Algorithms for Making Predictions Chapter 2 Understand the Problem by Understanding the Data Chapter 3 Predictive Model Building: Balancing Performance, Complexity, and Big Data Chapter 4 Penalized Linear Regression Chapt
<szhyu> 上传 | 大小：14mb

[Python] Building Machine Learning Systems with Python(2ed,2015)

说明： Get more from your data through creating practical machine learning systems with Python
<szhyu> 上传 | 大小：7mb

[Python] Learning.Data.Mining.with.Python

说明： Harness the power of Python to analyze data and create insightful predictive models
<szhyu> 上传 | 大小：3mb

[Python] Data.Science.from.Scratch.First.Principles.with.Python

说明： Get a crash course in Python ■■ Learn the basics of linear algebra, statistics, and probability— and understand how and when they're used in data science ■■ Collect, explore, clean, munge, and manipulate data ■■ Dive into the fundamentals of machine
<szhyu> 上传 | 大小：5mb

[Python] Learning Python Data Visualization(2014)

说明： Master how to build dynamic HTML5-ready SVG charts using Python and the pygal library
<szhyu> 上传 | 大小：5mb

[Python] Learning SciPy for Numerical and Scientific Computing(2ed,2015)

说明： Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy
<szhyu> 上传 | 大小：3mb

[Python] NumPy(3ed,2015)

说明： Build efficient, high-speed programs using the high-performance NumPy mathematical library
<szhyu> 上传 | 大小：22mb

[Python] Python Data Analysis(2014).

说明： Learn how to apply powerful data analysis techniques with popular open source Python modules
<szhyu> 上传 | 大小：24mb

[Python] Python.Data.Analytics

说明： Chapter 1: An Introduction to Data Analysis Chapter 2: Introduction to the Python’s World Chapter 3: The NumPy Library Chapter 4: The pandas Library—An Introduction Chapter 5: pandas: Reading and Writing Data Chapter 6: pandas in Depth: Data Manipul
<szhyu> 上传 | 大小：12mb