Udacity Data Engineering Capstone Project
Project Summary The project follows the follow steps: Step 1: Scope the Project and Gather DataStep 2: Explore and Assess the DataStep 3: Define the Data ModelStep 4: Run ETL…
Classical & Statistical Time Series Modelling of United Health Group’s Stock Price
Time series is different from a regular regression problem because it is time dependent. The basic assumption of a linear regression that the observations are independent doesn’t hold in this…
Highlight Text using Weights
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.…
Developing a Web Application for a Machine Learning Model
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/…
Modeling Bitcoin’s Market Capitalization
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…
Technology raise Food Allergy Awareness
Dietary allergens are part of everyday life. There is no quick fix to eliminate them from our diet. Due to the nature of prevailing allergies, they are not confined to…
10 groups of Machine Learning Algorithms
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…
Countvectorizer sklearn example
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))…