May 12Gradient Boosted Trees for Regression in PythonStep-by-step follow-along | Data Series | Episode 11.6 — An explanation of Gradient Boosted Trees for Regression: Episode 11.5 You can view and use the code and data in this episode here: Link Objective Produce gradient boosted trees to predict diamond prices in dollars given their:Data Science6 min read
Apr 29Gradient Boosted Trees for Regression ExplainedRegression | Data Series | Episode 11.5 — Building Gradient Boosted Trees for Regression To understand how gradient boosted trees for regression works, let us go through step-by-step how to build gradient boosted trees on the following fake test score data to predict a student’s test score. 1. Calculate the mean of our target variable, test score. This forms our initial prediction:Regression4 min read
Apr 10Random Forest Classifier in PythonStep-by-step follow-along | Data Series | Episode 11.4 — An explanation of Random Forest Classifier: Episode 11.3 You can view and use the code and data in this episode here: Link Objective Produce a random forest classifier that predict the classes of rice. Dataset DescriptionDecision Tree3 min read
Mar 28Random Forest Classifier ExplainedClassification | Data Series | Episode 11.3 — This episode builds upon the decision tree classification explained. In the previous episode, we discussed how to build a decision tree classifier using information gain. In this episode, we look at how we can use multiple decision trees (a forest) to classify data. Building a Random Forest Classifier Take a look at the following…Classification Algorithms3 min read
Feb 5Thank you for 100 FollowersIt has been quite a journey over the past few years. I would like to thank all those that have supported me throughout. Here, I share my story of producing an online series of articles and videos on data science entitled the data series. The Beginnings It all started off during my…100 Followers2 min read
Jan 30Decision Tree Classifier in PythonStep-by-step follow-along | Data Series | Episode 11.2 — An explanation of Decision Tree Classifier: Episode 11.1 How to set up your programming environment can be found at the start of : Episode 4.3 You can view and use the code and data in this episode here: Link Note: Heart disease and heart failure are not the same…Data Science4 min read
Jan 17Decision Tree Classifier ExplainedClassification | Data Series | Episode 11.1 — In this episode, we focus on explaining decision tree classifiers and how they are built using Entropy and Information Gain. What is a Decision Tree? A Decision Tree is an algorithm that splits our data according to decisions in order to classify or predict data. Decision Trees can be used for both regression and…Decision Tree4 min read
Dec 29, 2021Data Science Project | Clustering Mixed DataStart to Finish Clustering Analysis | Data Series | Project 3 — Link to data and code can be found in the folder project 3 here Objective To identify clusters of individuals that have suffered from heart failure. The data consists of both numerical and categorical data, to cluster such data we can use K-prototypes clustering. K-prototypes Clustering K-prototypes work similarly to K-means…Data Science8 min read
Dec 9, 2021How to Evaluate Your Classification Algorithm in PythonStep-by-step follow-along | Data Series | Episode 10.4 — In the previous episode, we went over the different methods you can evaluate your classification algorithm. In this episode, we focus on applying these methods in Python. You can view and use the code and data used in this episode here: Link 1. Building the Classification Algorithm First we need to build a classification…Data Science3 min read
Dec 3, 2021Evaluation of Classification AlgorithmsThe Different Methods | Data Series | Episode 10.3 — There are various classification algorithms such as: Support Vector Machines (Episode 9.1) Logistic Regression (Episode 7.1) Decision Trees (Soon to come) But how do we evaluate these algorithms’ performance? In this episode we look at the following evaluation metrics: Accuracy, Precision, Recall (True Positive Rate), False Positive Rate, Specificity…Data Science6 min read
