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

Continue Reading# classifier

## 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.…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## Understanding Gaussian Classifier

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

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## Performance Measurement For Classification

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

Continue Reading## Upgrade your Image Classifier with Balanced data

[6]PCA OutputFrom the PCA summary its clear that the first 25 principal components hold more than 80% of the data.PCA…

Continue Reading## F# Advent Calendar — A Christmas Classifier

I can’t post an image of the whole network here (it has 48 layers!) but for this task the relevant…

Continue Reading## How to use Machine Learning and Quilt to Identify Buildings in Satellite Images

How to use Machine Learning and Quilt to Identify Buildings in Satellite ImagesJared Yamaoka was an Insight Data Science Fellow…

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