RamaKavanan

Now a days most of them using selenium as one of the scraping tool due to its build in library and community support. Even though many of us feel its hard to implement in selenium.  In my previous post  explained how  effectively we can use the selenium in different use cases. Most of us known selenium is a automation testing tool. Currently people using this as most successful scraping methodology.  The most scraping tools are developed with the help of selenium only.  For example Scrapy . To know more about how to crawl a website follow this post http://ramakavanan.blogspot.com/2017/09/website-crawl-or-scraping-with-selenium.html. Issue: One day I started to crawl  Cricbuzz website. In the middle of crawling, The crawler should move to the next page. So I want not click the " next "  button in the pagination list.  But the crawler throws the issue like WebDriverException : Message : Element is not clickable at point ( 918 , 13 ). Other element woul

Decision Tree in ML Decision Tree algorithm belongs to the family of supervised machine learning algorithm. It is simple and popular and is based on choices as suggested by its name. This algorithm works both for continuous as well as choice variables i.e. it can be used for both classification as well as regression problems. The article unfolds in three sections, commencing with a general introduction of the algorithm, followed by the mathematical concepts that builds the blocks for the same and we shall conclude with a code walk through on building a  Decision Tree model in Python using Loan approval data set. 1. Introduction Decision Tree learns decision rules inferred from prior data that we use to train it. The motive is to predict the target variables or predict the class based on these decision rules. As the name suggests, the algorithm solves problems by using a tree representation. Each internal node of the tree are attributes and the leaf nodes corresponds to the cla