andrew ng machine learning python

statistical tests for each feature:false positive rate SELECTFPR, false discovery rate selectfdr, or family wise error selectfwe. The document says that if you use a sparse matrix, only the CHI2 indicator is available, and everything else must be transformed into the dense matrix. But I actually found that f_classif can also be used in sparse matrices.Recursive Feature elimination: Looping feature selectionInstead of examining the value of a variable individually, it aggregates it together for

: Network Disk DownloadToday, machine learning is making a boom on the internet, and Python is a great language for developing machine learning systems. As a dynamic language, it supports rapid exploration and experimentation, and the number of

Summary: What is data mining. What is machine learning. And how to do python data preprocessing. This article will lead us to understand data mining and machine learning technology, through the Taobao commodity case data preprocessing combat, through the iris case introduced

there is no sample code available. It is also unfortunate that machine learning lacks a framework or gem based on Ruby. Discover Python and NLTK I continued to search the solution and encountered "Python" in the result set. As a Ruby developer, although I haven't learned the language yet, I know that

normalized disposal, each dimension of the data are converted to 0, 1 interval, thereby reducing the number of iterations, improve the convergence rate of the algorithm.4. Selection of K valuesAs mentioned earlier, the number of clusters in K-means clustering K is a user-defined parameter, then how can users know if K is the correct choice? How do you know if the generated clusters are better? Like the K-value determination method of K-nearest neighbor classification algorithm, K-means algorith

Write in front of the crap:Well, I have to say Fish C markdown Text editor is very good, full-featured. Again thanks to the little turtle Brother's python video Let me last year in the next semester of the introduction of programming, fell in love with the programming of the language, because it is biased statistics, after the internship decided to put the direction of data mining, more and more found the importance of specialized courses. In the days

the name implies, the cart algorithm can be used both to create a classification tree (classification tree), or to create a regression tree (Regression trees), model tree, the two are slightly different in the process of building. In this paper, "The classical algorithm of machine learning and the implementation of Python (decision tree)", the principle of class

Za003-python data analysis and machine learning Combat (Tang Yudi)The beginning of the new year, learning to be early, drip records, learning is progress!Do not look everywhere, seize the promotion of their own.For learning diffic

python is an object-oriented, interpretive computer programming language with a rich and powerful library, coupled with its simplicity, ease of learning, speed, open source free, portability, extensibility, and object-oriented features,python Become the most popular programming language of the 2017!AI is one of the most popular topics,

reference:http://qxde01.blog.163.com/blog/static/67335744201368101922991/Python in the field of scientific computing, there are two important extension modules: NumPy and scipy. Where NumPy is a scientific computing package implemented in Python. Include: A powerful n-dimensional array object; A relatively mature (broadcast) function library; A toolkit for consolidating C + + and Fortran co