SAS Studio is a very powerful statistical program which are used by many corporations for various analytic and data science tasks. We briefly want to look at how we can check sum frequency statistics on some columns / attributes in our data. lets set the library name for our working directory where our dataset is
This is a short scrap notes from the Machine Learning Course taught by Associate Professor, Andrew Ng, Stanford University on Coursera. hypothesis = hØ(x) + Øo + Ø1X Parameters = Øo , Ø1 Our Goal = minimise Ø0 , Ø1 that is the cost function J(Ø0, Ø1) GRADIENT Descent. An algorithm wich minimises the
Analysing ‘Big Data’ from a database with real world data requires retrieving data from the database by writing relevant queries. As part of “Managing Big Data with MySQL” by Duke University on Cousera, I dealt with real world data that comprise hundreds to millions of entries/rows. This is the database of Dillard’s Department stores, specifically, the UA_DILLARDS that contains
In this quick guide, we will be looking at the simply command structure/syntax of SQL – DQL. SQL – Stands for Structured Query Language. It is a language that is used to communicate with a database. DQL– Data Query Language aspect of MySQL. As an Data Scientist or aspiring one, you will be interacting with lots
What is it This week, I started the Data Analysis and Interpretation Capstone by Wesleyan University on Coursera. This is the final of 5 course specialisation. The capstone project is expected to take 4 weeks. With each week tackling and doing a major component of the Project work. What is the objective The objective of
Overview My research work deals with Ghana, a country from the Gapminder dataset as has already been discussed from the beginning and progression through this course. The variables in my observation dataset are all quantitative. For the purposes of this assignment, I have binned my quantitative target variable, Life Expectancy (lifeexpectancy) into a 2-level binary categorical target variable. I have named
OVERVIEW My research work deals with Ghana, a country from the Gapminder dataset and there are 5 main variables I have been working with so I will be looking at the sample, procedure and measures for these 5 variables. The variables are: i. Incomeperperson (Income Per Person) ii. literacyrate (Literacy Rate) iii. lifeexpectancy (Life
Overview My research work deals with Ghana, a country from the Gapminder dataset as has already been discussed from the beginning and progression through this course. Picture Of My Final Decision Tree Outputted From My Python Program The variables in my observation dataset are all quantitative. For the purposes of this assignment, I have binned
So today, I got my results from the Machine Learning course on Coursera.org. It was a month of intense digging into the fundamentals and core aspects of machine learning. No wonder machine learning is most talked about online. The module is ideal for beginners who want to get hands on experience with Machine Learning. It
Overview My research work deals with Ghana, a country from the Gapminder dataset as has already been discussed from the beginning and progression through this course I conducted a k-means cluster analysis to find out the underlying sets of the population of Ghana based on their similarity of responses on 22 variables that represent characteristics
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