data science fundamentals for python and mongodb

http://blog.csdn.net/pipisorry/article/details/44245575A very good article on how to learn python and use Python for data science, data analysis, machine learning Comprehensive learning Path–data

Python is a simple getting started tutorial for data science and python getting started tutorial Python has an extremely rich and stable data science tool environment. Unfortunately, fo

R VS Python in Data science: The winner is ...In the "Best" data Science tools game, R and Python have their own pros and cons. The choice between the two depends on the use of the background, the need to learn spending and other

2018 will be a year of rapid growth in AI and machine learning, experts say: Compared to Python is more grounded than Java, and naturally becomes the preferred language for machine learningIn data science, Python's grammar is the closest to mathematical grammar, making it the easiest language for professionals such as mathematicians or economists to understand an

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Python has become increasingly popular among data science enthusiasts, and it is important that it brings a complete system to the universal programming language. With Python you can not only transform operational data, but also create powerful piping commands and machine le

Python has an extremely rich and stable data science tool environment. Unfortunately, for those who do not know the environment is like a jungle (cue snake joke). In this article, I will step by step guide you how to get into this pydata jungle. You might ask, how about a lot of the existing Pydata package recommendation lists? I think it would be unbearable for

Python has an extremely rich and stable data science tool environment. Unfortunately, for those who do not know this environment is like a jungle (cue snake joke). In this article, I'll guide you step-by-step through how to get into this pydata jungle. You might ask, what about many of the existing Pydata package referral lists? I think it would be too much for

Intermediate Python for Data Science | Datacamp Https://www.datacamp.com/courses/intermediate-python-for-data-science The intermediate Python course is crucial to your

)-i]] pca.append (Sort[len (input)-i]) I+ = 1" "The eigenvalues and eigenvectors corresponding to each principal component are saved and returned as a return value ." "Pca_eig= {} forIinchRange (len (PCA)): pca_eig['{} principal component'. Format (str (i+1))] =[Eigvalue[pca[i]], Eigvector[pca[i] ]returnPca_eig" "assigning the class that the algorithm resides to a custom variable" "Test=MY_PCA ()" "invoke the PCA algorithm in the class to produce the required principal component correspo

arguments are missing samples (decision tree is more tolerant of missing values, there are corresponding processing methods)Parms: The default is the "Gini" index, which is the method of the CART decision tree Partition node;> Rm (list=ls ())>Library (Rpart.plot)>Library (Rpart)>data (Iris)> Data Iris> Sam 1: Max, -)> Train_data Data[sam,]> Test_data Sam,]> Dtre

First, IntroductionAs for regular expressions, I have already made a detailed introduction in the previous (Data Science Learning Codex 31), which summarizes the common functions of the self-contained module re in Python.As a module supported by Python for regular expression related functions, re provides a series of methods to complete the processing of almost a

:15px "> learning R Blog URL: http://learnr.wordpress.com p26_27 r home page: http://www.r-project.org rstdio home page:/http/ www.rstdio.com/ r Introduction: http://www.cyclismo.org/tutorial/R/ r a relatively complete getting Started Guide: http://www.statmethods.net/about/sitemap.html plyr Reference Document: Http://cran.r-projects.org/web/packages/plyr/plyr.pdf ggplot2 Reference Document: Http://cran.r-project.org/web/packages/ggplot2/gg

data conversion refers to filtering, cleaning, and other conversion operations on the data. Remove Duplicate data Repeating rows often appear in the Dataframe, Dataframe provides a duplicated () method to detect whether rows are duplicated, and another drop_duplicates () method to discard duplicate rows:Duplicated () and Drop_duplicates () methods defaultJudgi

detected and we need to handle them. The general outlier processing methods can be broadly divided into the following types:• Delete records that contain outliers: Delete the records containing outliers directly;• Treated as missing values: treat outliers as missing values and process them using missing value processing methods;• Average correction: The outliers can be corrected with the average value of two observations before and after;• Do not process: d