Pandas equivalent of 10 useful SQL queries… or Pandas for SQL developersPredicting survivors of TitanicWho will survive a shipwreck? We can use…
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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 ReadingA 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…
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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 ReadingHow 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 ReadingNaive 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 ReadingUnderstanding Gaussian Classifier
This leads to a multivariate normal distribution, the equation of which is given below:Σ is a covariance matrix. Function symbol…
Continue ReadingMulti-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 ReadingBoosting, 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 ReadingPredicting 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 ReadingDealing 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 ReadingHandling 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 ReadingFruits 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 ReadingPerformance Measurement For Classification
Performance Measurement For ClassificationSrajan GuptaBlockedUnblockFollowFollowingJan 2Hi, Everybody. So this is my second post on Data Science and Machine Learning. This…
Continue ReadingUpgrade 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 ReadingF# 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 ReadingHow 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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