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Python detailed process of crawling Coursera course resources, coursera Course Resources

Python detailed process of crawling Coursera course resources, coursera Course Resources Sometimes we need to add some classic things to our favorites and review them from time to time. Some courses on Coursera are undoubtedly classic. Most of Coursera's finishing courses provide complete teaching resources, including ppt, video, and subtitles. It is very easy to

Coursera course Download and archive plan [reprint]

In Wednesday, we received mass mailings from the Coursera platform, to the effect that Coursera will completely close the Old Course platform on June 30, upgrade to the new course platform, some Old Course resources (course videos, course materials) will not be saved, if you have previously studied the relevant courses, or have the desired courses , Coursera reco

coursera-Wunda-Machine learning-(programming exercise 7) K mean and PCA (corresponds to the 8th week course)

This series is a personal learning note for Andrew Ng Machine Learning course for Coursera website (for reference only)Course URL: https://www.coursera.org/learn/machine-learning Exercise 7--k-means and PCA Download coursera-Wunda-Machine learning-all programming practice answers In this exercise, you will implement the K-means clustering algorithm and apply it to compressed images. In the second section, y

What are some of the learning Python, data analysis courses on Coursera?

! I've been on this course 3 years ago, and it's been a long time ... Before going to bed to see this question, the day before yesterday wrote an article about learning Python in Coursera, just right question, so excerpt part, hope to be helpful:-) Let's talk about the process of learning Python in Coursera (and recommend this interesting professor, who wants to learn about Python). This is the 0 basic Py

What courses are worth learning about Python and data analysis on coursera?

friends leave a message saying they are already charged. Let's go to the official website and check it out! I have taken this course three years ago. It takes a long time ...... I saw this problem before I went to bed. I wrote an article about learning python in coursera the day before yesterday, which is just the right question. So I want to extract some of it and hope it will help me :-) Next, let's talk about how I learned python on

[Machine Learning] Coursera notes-Support Vector machines

friends, but also hope to get the high people of God's criticism!        Preface  [Machine Learning] The Coursera Note series was compiled with notes from the course I studied at the Coursera learning (Andrew ng teacher). The content covers linear regression, logistic regression, Softmax regression, SVM, neural networks, and CNN, among other things, and the main learning materials are from the machine lear

Python crawls the detailed process of Coursera course resources

Sometimes we need to put some classic things in the collection, always aftertaste, and Coursera on some of the courses are undoubtedly classic. Most of the end courses in Coursera provide a complete set of teaching resources, including PPT, video and subtitles, which will be very easy to learn when offline. Obviously, we will not go to a file to download a file, Only fools do so, programmers are smart! Wha

Coursera Open Class Machine Learning: Linear Regression with multiple variables

regression. The root number can also be selected based on the actual situation.Regular Equation In addition to Iteration Methods, linear algebra can be used to directly calculate $ \ matrix {\ Theta} $. For example, four groups of property price forecasts: Least Squares $ \ Theta = (\ matrix {x} ^ t \ matrix {x}) ^ {-1} \ matrix {x} ^ t \ matrix {y} $Gradient Descent, advantages and disadvantages of regular equations Gradient Descent: Desired stride $ \ Alpha $; Multiple iterations are requ

Notes | Wunda Coursera Deep Learning Study notes

Programmers who have turned to AI have followed this number ☝☝☝ Author: Lisa Song Microsoft Headquarters Cloud Intelligence Advanced data scientist, now lives in Seattle. With years of experience in machine learning and deep learning, we are familiar with the requirements analysis, architecture design, algorithmic development and integrated deployment of machine learning and AI products under various business scenarios. Wunda Coursera Deep Learni

Detailed process of Python crawling Coursera course resources

This article mainly introduces the detailed process of Python crawling Coursera course resources. For more information, see some typical things, some Coursera courses are undoubtedly classic. Most of Coursera's finishing courses provide complete teaching resources, including ppt, video, and subtitles. it is very easy to learn offline. Obviously, we won't download a file or a file. it's just a fool. programm

Python crawls the detailed process of Coursera course Resources _python

Sometimes we need to collect some classic things, always aftertaste, and Coursera on some of the courses is undoubtedly classic. Most of the completed courses in Coursera provide a complete set of teaching resources, including PPT, video and subtitles, which will be very easy to learn when offline. It is obvious that we will not go to a file to download a file, Only fools do so, programmers are smart! What

[Coursera] Getting and cleaning Data Quiz

of:sum(dat$Zip*dat$Ext,na.rm=T)(Original data Source:http://catalog.data.gov/dataset/natural-gas-acquisition-program)Question 4Read the XML data on Baltimore restaurants from here:Https://d396qusza40orc.cloudfront.net/getdata%2Fdata%2Frestaurants.xmlHow many restaurants has zipcode 21231?Question 5The American Community Survey distributes downloadable data about the states communities. Download The 2006 microdata survey about housing for the state of Idaho using Download.file () from here:Https

"MATLAB" machine learning (Coursera Courses Outline & Schedule)

The course covers technology:Gradient descent, linear regression, supervised/unsupervised learning, classification/logistic regression, regularization, neural network, gradient test/numerical calculation, model selection/diagnosis, learning curve, evaluation metric, SVM, K-means clustering, PCA, Map Reduce Data Parallelism, etc...The course covers applications:Message classification, tumor diagnosis, handwriting recognition, autonomous driving, model optimization, OCR, etc...

Coursera Special Course--Introduction to program design and algorithm

1. What is a special course (specializations)?If you want to learn a major that you do not understand, you can study according to the special course arrangement. Coursera Special Course collects a field of curriculum, and according to the Order of teaching, it is very suitable for the new people who don't feel well.2. Program Design and algorithmThis special course is a computer Foundation course published by Peking University in

Coursera Series-R programming third week-lexical scopes

(Datasets) data (IRIS)#Exploratory Analysisnames (Iris) head (IRIS)#The following attempts to take Virginica,speal. The method of length is all wrongiris[,2]iris[iris$species=="virginica", 2]mean (iris[iris$species=="virginica", 2])##the above is Error,not correct##tapply (Test$sepal.length,test$species,mean)#using Species.mean to group vectors, this method is feasible, but the above method is necessary to look at the errorLibrary (Datasets) data (Mtcars) #以下为做某个题时的若干测试. And a trial-and-error l

Coursera open course notes: "Advice for applying machine learning", 10 class of machine learning at Stanford University )"

networks and overfitting: The following is a "small" Neural Network (which has few parameters and is easy to be unfitted ): It has a low computing cost. The following is a "big" Neural Network (which has many parameters and is easy to overfit ): It has a high computing cost. For the problem of Neural Network overfitting, it can be solved through the regularization (λ) method. References: Machine Learning video can be viewed or downloaded on Coursera

NTU-Coursera ml: HomeWork 1 Q15-20

NTU-Coursera ml: HomeWork 1 Q15-20Question15 The training data format is as follows: The input has four dimensions, and the output is {-1, + 1 }. There are a total of 400 data records. The question requires that the weight vector element be initialized to 0, and then "Naive Cycle" is used to traverse the training set. When the iteration is stopped, the weight vector is updated several times. The so-called "Naive Cycle" means that after an error i

How to download Coursera videos

In China, Coursera is very choppy and often gets stuck when playing half of the video. I don't know why. Therefore, you can only download the file and view it again. There is a script on GitHub to open the link to download the entire course. It is very convenient to use. The method is as follows. Because this script uses multiple Python libraries, it is best to use the Linux system. I use Debian Wheezy and python2.7.3. Of course, you need a

Start Coursera and EDX step by step

Label: Ar c working time r as Rom net 5CATEGORY first, 1. skill category; 2. improvement category; 3. Interest category.I have completed the first six courses of Andrew Ng ml, UW computer network, and dataset cience on Coursera.In the future, the service will be guaranteed to be 25 hours a week, with an average of 2.5-3 hours per working day and 11 hours on weekends. In this way, three courses can be conducted at the same time in less than ten weeks, it also needs to be arranged according to the

Coursera-getting and cleaning regular expressions and text processing in Data-week4-r languages

Coursera-getting and Cleaning Data-week4Thursday, January,Make up the fourth week notes, and this course summary.The four-week course focuses on text processing. Inside includes1. Handling of variable names 2. Regular Expression 3. Date processing (see Swirl lubridate package exercise)First, the processing of variable names, followed by two principles, 1) uniform case tolower/toupper;2) Remove the import data, because special characters caused by the

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