Cross Validation, Exploratory Data Analysis and Support Vector Machines

Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

FEBRUARY 12, 2024

Machine Learning Algorithms Candidates should demonstrate proficiency in a variety of Machine Learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. What is cross-validation, and why is it used in Machine Learning?

Data Science

Data Science Cross Validation Machine Learning Machine Learning

Predicting Heart Failure Survival with Machine Learning Models — Part II

Towards AI

JULY 19, 2023

That post was dedicated to an exploratory data analysis while this post is geared towards building prediction models. In our exercise, we will try to deal with this imbalance by — Using a stratified k-fold cross-validation technique to make sure our model’s aggregate metrics are not too optimistic (meaning: too good to be true!)

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines

Data Science Current

Top 10 Data Science Interviews Questions and Expert Answers

Predicting Heart Failure Survival with Machine Learning Models — Part II

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