Artificial Intelligence

125 learners

Classification Algorithms and Metrics

Go beneath the surface of classification algorithms and metrics, implementing them from scratch for deeper understanding. Bypass commonly-used libraries such as scikit-learn to construct Logistic Regression, k-Nearest Neighbors, Naive Bayes Classifier, and Decision Trees from ground up. This course includes creating the AUCROC metric for Logistic Regression, among others.

C++

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6 lessons

27 practices

5 hours

Course details

Understanding the Confusion Matrix, Precision, and Recall in Classification Metrics

Preview

Calculating True Negatives and False Positives in Medical Diagnostics

Precision and Recall in Medical Diagnostics

Precision Calculation in Medical Diagnostics

Medical Test Recall Calculation Correction

Calculating Precision and Recall in Medical Diagnostics

Previous Course Next Course: Gradient Descent: Building Optimization Algorithms from Scratch

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Faith Yim

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Alex Bush

Full Stack Engineer

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Abbey Helterbran

Tech consultant

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Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

Classification Algorithms and Metrics

Course details

Unit 15 practices57 min

Unit 25 practices57 min

Unit 35 practices57 min

Unit 44 practices48 min

Unit 55 practices57 min

Unit 63 practices39 min

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Join the 1M+ learners on CodeSignal

From our community

From our community