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Text classification is one of the most important tasks in Natural Language Processing. It is the process of classifying text strings or documents into different categories, depending upon the contents of the strings. Text classification has a variety of applications, such as detecting user sentiment from a tweet, classifying an...
Usman Malik
Text preprocessing is one of the most important tasks in Natural Language Processing (NLP). For instance, you may want to remove all punctuation marks from text documents before they can be used for text classification. Similarly, you may want to extract numbers from a text string. Writing manual scripts for...
Association rule mining is a technique to identify underlying relations between different items. Take an example of a Super Market where customers can buy variety of items. Usually, there is a pattern in what the customers buy. For instance, mothers with babies buy baby products such as milk and diapers....
Dealing with HTTP requests is not an easy task in any programming language. If we talk about Python, it comes with two built-in modules, urllib and urllib2, to handle HTTP related operation. Both modules come with a different set of functionalities and many times they need to be used together....
N Kaushik
A typical machine learning process involves training different models on the dataset and selecting the one with best performance. However, evaluating the performance of algorithm is not always a straight forward task. There are several factors that can help you determine which algorithm performance best. One such factor is the...
When studying Probability & Statistics, one of the first and most important theorems students learn is the Bayes' Theorem. This theorem is the foundation of deductive reasoning, which focuses on determining the probability of an event occurring based on prior knowledge of conditions that might be related to the event....
Daniyal Shahrokhian
Temporary files, or "temp files", are mainly used to store intermediate information on disk for an application. These files are normally created for different purposes such as temporary backup or if the application is dealing with a large dataset bigger than the system's memory, etc. Ideally, these files...
Python as a scripting language is quite simple and compact. Compared to other languages, you only have a relatively low number of keywords to internalize in order to write proper Python code. Furthermore, both simplicity as well as readability of the code are preferred, which is what Python prides itself...
Frank Hofmann
In our previous article Implementing PCA in Python with Scikit-Learn, we studied how we can reduce dimensionality of the feature set using PCA. In this article we will study another very important dimensionality reduction technique: linear discriminant analysis (or LDA). But first let's briefly discuss how PCA and LDA differ...
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