Texts tend to have a hierarchical structure and the importance of words and sentences are highly context dependent. This post is a short tutorial to highlight text using sample weights. The text is displayed in Jupyter notebook. The weights can be from a model such as Logistic regression or Attention model. The different intensity of the color for the text…
This post describes developing a web application for a machine learning model and deploying it so that it can be accessed by anyone. The web application is available at: https://arrear-model.herokuapp.com/ The process of deployment consists of transferring all flask application files from a local computer to the web server. Once completed the web application can be visited by anyone through…
Guide for Linear Regression using Python – Part 2 This blog is the continuation of guide for linear regression using Python from this post. There must be no correlation among independent variables. Multicollinearity is the presence of correlation in independent variables. If variables are correlated, it becomes extremely difficult for the model to determine the true effect of X on…
Regression is the first algorithm we need to master if we are aspiring to become a data scientist. It is one of the easiest algorithms to learn yet requires understanding and effort to get to the master it. In this blog is a guide for linear regression using Python. It will focus on linear and multiple regression. We will learn the…
In this blog, we will be predicting NBA winners with Decision Trees and Random Forests in Scikit-learn.The National Basketball Association (NBA) is the major men’s professional basketball league in North America and is widely considered to be the premier men’s professional basketball league in the world. It has 30 teams (29 in the United States and 1 in Canada). The data…
Bitcoin has been in news quite a bit lately with the price soaring. It was named the top performing currency four of the last five year. And it’ price has the potential to hit over $100,000 in 10 years, which would mark a 3,483 percent rise from its recent record high. In this post, we are modeling Bitcoin’s Market Capitalization. Bitcoin…
In this article, I grouped some of the popular machine learning algorithms either by learning or problem type. There is a brief description of how these algorithms work and their potential use case. Regression How it works: A regression uses the historical relationship between an independent and a dependent variable to predict the future values of the dependent variable. It…
This countvectorizer sklearn example is from Pycon Dublin 2016. For further information please visit this link. The dataset is from UCI. In [2]: messages = [line.rstrip() for line in open(‘smsspamcollection/SMSSpamCollection’)] In [3]: print (len(messages)) 5574 In [5]: for num,message in enumerate(messages[:10]): print(num,message) print (‘\n’) 0 ham Go until jurong point, crazy.. Available only in bugis n great world la e buffet… Cine there got amore…