Comparison of ML algo Regression, Random Forests and Neural Netwok, on different data
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Updated
Nov 18, 2017 - R
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Comparison of ML algo Regression, Random Forests and Neural Netwok, on different data
An employee attrition prediction (machine learning) project
This data science project aims to classify mobile phones into different price ranges using various machine learning algorithms and feature selection techniques such as LASSO, Boruta, and Recursive Feature Elimination. The project uses six different algorithms including SVM, KNN, Naive Bayes, Random Forest, and CART to achieve the highest accuracy.
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Cervical Cancer detection using linear and non-linear machine learning algorithms
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