udacity data mining

the skewness coefficient is greater than 1 or less than 1 , called a highly skewed distribution, if the skewness coefficients are 0.5~1 or -1~0.5 is considered to be a medium-biased distribution; Peak State and its measurement ; the peak state is relative to the standard normal distribution. If a set of data obeys a standard normal distribution, then the value of the peak state coefficient is equal to 0, if the value of the peak state coefficient is

Tags: blog HTTP Io use AR strong data SP Div I. Preface Every time we talk about data mining, some people come up with ETL, algorithms, and mathematical models. It is a headache for me to implement engineering. In fact, as for data mining, algorithms are only the means of

observation data distribution characteristicSingle-Variable value grouping: Applies to discrete variables with less variable values.Group distance Grouping: Applies to continuous variables with more variable values.Ex: grouping methods and their watchmaking processesStep1: Determines the number of groups. The determination of group number is mainly used for the observation of data characteristics, so it de

PrefaceRecently on the data mining learning process, learn to naive Bayesian operation Roc Curve. It is also the experimental subject of this section, the calculation principle of ROC curve and if statistic TP, FP, TN, FN, TPR, FPR, ROC area and so on. The ROC area is often used to assess the accuracy of the model, generally think the closer to 0.5, the lower the accuracy of the model, the best state is clo

First, the visualization method Bar chart Pie chart Box-line Diagram (box chart) Bubble chart Histogram Kernel density estimation (KDE) diagram Line Surface Chart Network Diagram Scatter chart Tree Chart Violin chart Square Chart Three-dimensional diagram Second, interactive tools Ipython, Ipython Notebook plotly Iii. Python IDE Type Pycharm, specifying a Java swing-based user interface PyDev, SWT-based

Data Mining introduction PDF Format Http://files.cnblogs.com/coldwine/DataMiningInYukon.rar SQL Server 2005 data mining tutorial SQL Server 2005 Text Mining tutorial A tutorial describing how to use the text mining components

heard that the complaint is: The model looks beautiful, but one to the application link to find that the prediction is inaccurate;2. Modeling means single, can not consider the problem in a multi-angle, so as to better fit the data;3. It is not possible to systematically compare the different models obtained by different methods, not to mention the selection of a relatively optimal model among many candidate models.At this point, to eliminate the abo

If you have a shopping website, how do you recommend products to your customers? This function is available on many e-commerce websites. You can easily build similar functions through the data mining feature of SQL Server Analysis Services. It is divided into three parts to demonstrate how to implement this function. 1. Build a Mining Model 2. Compile service in

---restore content starts---After reading the big talk data mining this book the first 36 pages, learned the knowledge.Data Mining (Mining) and Knowledge Discovery (KDD) in the database are aliases to each other.Examples of data mining