coursera vs datacamp

I have climbed the URL of all the courses on Coursera and placed it in the All_url.txt file, about 2000 lines. Then I want to use these URLs to crawl other information I want, to synthesize a. csv to facilitate the import of the database. In the following code, I've only written a few things I want to crawl to test for implementation (such as the crawl of the course schedule, and so on, five of the information I need is not written in the code), but a

the rest planned to be migrated. * In addition, wattzon has publicly announced that its entire platform has been written based on Scala infrastructure. * The UBS Group uses Scala for general products. * Coursera (famous educational video website) uses Scala as a server language. 　　Main features: * Object-Oriented Programming: Scala is a pure object-oriented language. Every value is an object. Object Data Type and BehaviorClassAndCharacteristicsDescri

Academy Khan Academy, one of the earliest free online coding resources, has been accompanied by many students for a long journey. The simple learning course section and the video tutorials are gradually deepened. It is very responsible to say that, khan Academy is a great place to help you start programming. 4. HTML5 Rocks HTML5 Rocks is a Google Project. Under the guidance of Google's professional contributors, you can see the latest news, resource navigation, and all slides related to HTML5.

long journey. The simple learning course section and the video tutorials are gradually deepened. It is very responsible to say that, khan Academy is a great place to help you start programming. 4. HTML5 rocks HTML5 rocks is a Google Project. Under the guidance of Google's professional contributors, you can see the latest news, resource navigation, and all slides related to HTML5. The status of HTML5 is constantly rising. As long as you have a little experience, this language is very suitable f

I posted my microblog two days ago, but Wu lide from Fudan Institute of Computer Science is running? The elements of statistical learning )? This course is still in Zhangjiang... how can I miss Daniel's class? I'm sure I have to ask for leave to join the class... in order to reduce the psychological pressure, I also pulled a bunch of colleagues to listen to it. A dozen of eBay's mighty people killed the past! We always feel that we have more than Fudan students, and the classrooms of 50 or 60 pe

The topic of machine learning techniques under this column (machine learning) is a personal learning experience and notes on the Machine Learning Techniques (2015) of Coursera public course. All the content is from Coursera public class machine learning techniques Hsuan-tien Lin Heights field Teacher's explanation. (https://class.coursera.org/ntumltwo-001/lecture)1th talk-------Linear support Vector Machine

Machine learning notes (b) univariate linear regression Note: This content resource is from Andrew Ng's machine learning course on Coursera, which pays tribute to Andrew Ng. Model representationHow to solve the problem of house price in note (a), this will be the focus of this article. Now, assuming that there is more housing price data, a straight line is needed to approximate the trend of house prices, as shown in: Review the concept

prediction Naturual Language Processing Coursera Course Book on NLP NLTK NLP W/python Foundations of statistical Language processing Probability Statistics Thinking Stats-book + Python Code From algorithms to Z-scores-book The Art of R Programming-book (not finished) All of Statistics Introduction to statistical thought Basic probability theory Introduction to probability Principle of u

Hello everyone, I am mac Jiang, today and everyone to share the coursera-ntu-machine learning Cornerstone (Machines learning foundations)-Job four q13-20 MATLAB implementation. The previous code was implemented through C + +, but found that C + + implementation of the code is too cumbersome, the job also to change the parameter values frequently, so choose to use MATLAB to achieve. Compared with C + +, Matlab is obviously much easier to implement and

. Coursera More than 120 of the top university courses are available for free study and viewing. Gibbon You can use Gibbon to collect and share knowledge, whether it's for your team or for the world, it's not a problem. 99U YouTube Channel 99U is Behance's research and education organization, and on their YouTube channel, you'll find a lot of knowledge about efficiency, organization, leadership, design, and thinking. Infographics Here you will

Stanford Algorithms (a): Multiply by large number (C + +)Just not in the Chinese university Mooc attended the course of Chen teacher 数据结构 , Harvest very big. Feel the strike, also put the algorithm part also to a school, on the Coursera registered a Stanford University algorithm class, the amount of the course is very heavy, estimated to learn a semester, slowly learn, steady.The course recommended a lot of books, I found a book, the title is called A

Hello everyone, I am mac Jiang, today and everyone to share the coursera-ntu-machine learning Cornerstone (Machines learning foundations)-Job four q13-20 MATLAB implementation.Once the code is implemented through C + +. However, it is too cumbersome to discover that C + + implements this code. This job also need to change the number of participants frequently, so choose to use MATLAB to achieve. Compared to C + +. MATLAB implementation is obviously mu

fromPILImportImage, Imagedraw, Imagefont7 8sourceFileName ="classic.jpg"9Avatar = Image.open (sourceFileName)#Open picture FileTenDrawavatar = Imagedraw.draw (Avatar)#Create a brush to write numbers on a picture One AMyFont = Imagefont.truetype ("C:/windows/fonts/simsunb.ttf", 60)#write with a specific font - -Drawavatar.text ([in], text="9", fill= (255, 0, 0), font=MyFont) the - avatar.show () -Avatar.save ('classic_pil.jpg')This time, learn to save the picture, say OpenCV Save the picture

excellentAlgorithmic interviewing is only part of the technical interview.Depending on your CV and the position you are applying for, there are other technical aspects to be explored.Technical Interview Content: (depending on your position) Project experience and practical problems encountered in the project What is the most impressive bug you have ever encountered? Object oriented Design Patterns Network-related, security-related, memory-related, concurrency-related;

First of all, the library used here is a library created by the teacher when learning Coursera.#timerimport simpleguiimport random# Global statemessage = "Python is fun!" Position = [50]width = 500height = 500interval = 2000#handler for Text boxdef update (text): global Message mes Sage = text #Handler for Timerdef tick (): x = Random.randrange (0, width) y = random.randrange (0, height) Position[0] = x position[1] = y #Handler

Chapter of Basic Statement This poster of algorithms are based on the book and the lecture of algorithms on Coursera which are taught by Robert Sedgewi CK and Kevin Wayne, writers of the book mentioned above. Chapter of "algorithm" is the fundamental of Java programming language and a brief introduction to Algorithms and DA TA structure, including their concepts. Some interesting problems and the basic implementations of them. Introduction Why We s

Before trying to learn Coursera on Markov with the airport courses, found that do not understand, the reason is that the guy came up with a brief introduction of Markov with the airport is what it began to graphcut. But what exactly is Markov with the airport. Why Markov can be defined and deduced in the same way as the airport. None of this was clear, so he listened to a muddle. This system has learned the probability diagram, has the clearer underst

his course ofmachine Learningon Coursera. To keep things simple we'll use two features 1) throughput in MB/s and 2) latency in MS of response for each server. The Gaussian model is used to learn a underlying pattern of the dataset with the hope, our features follow the G Aussian distribution. After that, we'll find the data points with very-probabilities of being normal and hence can be considered outliers. For training set, we'll learn the Gaussian

Recently at home in the evening to see algorithems,4th Edition, I bought the English version, I think this book is relatively straightforward to understand, and "map code and Mao", taking advantage of this opportunity to learn to do a good job of notes, this will also be impressed, this is also the reason for writing this series of articles. In addition, Princeton University in Coursera also has this book synchronized public class, there is another al

randomly groups the data to the extent that training intensive accounts for 70% of the original data (this ratio can vary depending on the situation), and the test error is used as the criterion when selecting the model. The question comes from the Stanford University Machine Learning course on Coursera, which is described as follows: the size and price of the existing 47 houses requires the creation of a model for predicting new house prices. A lit