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Tag: Classification

What Machine Learning Algorithms Should You Learn First? (with examples)
I get way too many questions from aspiring data scientists regarding machine learning. Like what parts of machine learning they should learn more about to get a job.... The post What Machine Learning Algorithms Should You Learn First? (with examples) appeared first on Data36.
Catching Feels
Photo by Devon Divine on UnsplashOriginally published in Maslo - Your Virtual Self. This project was completed during the Summer 2020 session of Insight Fellows Program.Humans show a myriad of explicit and implicit emotional signals in our behaviors. Our facial expression, posture, and even the music we listen to are …
Machine Learning Algorithm Cheatsheet
The fine folks at Microsoft have put together an excellent Single Page Cheatsheet for Azure Machine Learning Algorithms. It is very helpful for Azure, but it is also helpful for understanding when and why to use a particular algorithm. Start in the large blue box, “What do you want to …
Logistic Regression in R: A Classification Technique to Predict Credit Card Default
Logistic Regression is one of the most popular classification techniques. In this sneak peak from Data Science Dojo's bootcamp, you'll learn about this popular algorithm and go through a real-world problem to practice.
Fundamentals of Data Mining
Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD).
Classification using Decision Trees
Decision trees happen to be one of simplest and easiest to explain classification models and, as many argue, closely resemble the human decision making. This blog post has been developed to help you revisit and master the fundamentals of decision tree classification models.
Classification using Decision Trees
Decision trees happen to be one of simplest and easiest to explain classification models and, as many argue, closely resemble the human decision making. This blog post has been developed to help you revisit and master the fundamentals of decision tree classification models.
Naive Bayes Classifier: A Geometric Analysis of the Naivete. Part 1
We obtain closed-form solutions to the decision boundary as predicted by naive bayes, when the true decision boundary is known to be a linear or a nonlinear form. The impact of the naivete assumption is then evaluated with the help of these analytic solutions.
A Magical Introduction to Classification Algorithms
A Magical Introduction to Classification Algorithms
Data Science Learning Club Update
For anyone that hasn’t yet joined the Becoming a Data Scientist Podcast Data Science Learning Club, I thought I’d write up a summary of what we’ve been doing....