I was working a project and I was looking into Decision Tree. I hence had to get the real meanings and distinctions between Classification and Regression Trees. I did a search and came across various articles and guides. However, I found 2 that enhanced my knowledge between the two types of Decision Tree. First was
What is population size: In simple terms, let’s us say population is the WHOLE SET and What is sample size: let us say it is the SUBSET (which is within the whole set) The norm Normally subsets are within the whole set and are smaller than the whole set Can they be equal ? Yes
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
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. My response variable, lifeexpectancy, is a quantitative response variable that measures the life expectancy of the people of Ghana. For the purposes of running the Lasso Regression Analysis, I added more variables
OVERVIEW My research work deals with Ghana, a country from the Gapminder dataset. What I found in my logistic regression analysis. Discussion of the results for the associations between all of my explanatory variables and my response variable The primary quantitative explanatory variable in my regression analysis is the Income Per Person
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