classifier

Dorian Lazar

Pandas equivalent of 10 useful SQL queries… or Pandas for SQL developersPredicting survivors of TitanicWho will survive a shipwreck? We can use…

What Is the Naive Classifier for Each Imbalanced Classification Metric?

A common mistake made by beginners is to apply machine learning algorithms to a problem without establishing a performance baseline.…

A Gentle Introduction to the Bayes Optimal Classifier

The Bayes Optimal Classifier is a probabilistic model that makes the most probable prediction for a new example. It is…

Soumalya Nandi

Building own Logistic Classifier in R [Logistic Trilogy, Part 2]Logistic Regression- Derived from Intuition [Logistic Trilogy, part 1]Lets derive the logistic…Maximum Likelihood…

How to Develop and Evaluate Naive Classifier Strategies Using Probability

A Naive Classifier is a simple classification model that assumes little to nothing about the problem and the performance of…

Naive Bayes Document Classification in Python

Naive Bayes Document Classification in PythonHow well can I classify a philosophy paper based on its abstract?Kelly EpleyBlockedUnblockFollowFollowingJun 23Naive Bayes is…

Understanding Gaussian Classifier

This leads to a multivariate normal distribution, the equation of which is given below:Σ is a covariance matrix. Function symbol…

Multi-Class classification with Sci-kit learn & XGBoost: A case study using Brainwave data

Multi-Class classification with Sci-kit learn & XGBoost: A case study using Brainwave dataA comparison of different classifiers’ accuracy & performance…

Boosting, Bagging and Stacking — A Comparative Analysis (2019 India Elections Case Study)

If you are a newcomer to this world, I have provided links throughout the article to help you out. This…

Predicting presence of Heart Diseases using Machine Learning

Predicting presence of Heart Diseases using Machine LearningKaran BhanotBlockedUnblockFollowFollowingFeb 12Photo by rawpixel on UnsplashMachine Learning is used across many spheres around the…

Dealing with Categorical Data fast — an example

Dealing with Categorical Data fast — an exampleSamir GadkariBlockedUnblockFollowFollowingFeb 7You’re in the office at 9 AM. Your boss comes in, gives you some…

Handling imbalanced datasets in machine learning

Handling imbalanced datasets in machine learningWhat should and should not be done when facing an imbalanced classes problem?Baptiste RoccaBlockedUnblockFollowFollowingJan 27This post was…

Fruits Lovers: Solving A Simple Classification Problem with Python

Fruits Lovers: Solving A Simple Classification Problem with PythonOcktavia Nurima PutriBlockedUnblockFollowFollowingJan 9In this post, we’ll implement several machine learning algorithms in…

Performance Measurement For Classification

Performance Measurement For ClassificationSrajan GuptaBlockedUnblockFollowFollowingJan 2Hi, Everybody. So this is my second post on Data Science and Machine Learning. This…