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**Learning Goals:**
- Understand the concept and use of the Random Forest Classifier and K-Nearest Neighbors (KNN) algorithm.
- Learn how to preprocess medical data for machine learning, particula…
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Now the supply chain is fully transformed to Digital age, entering the era of Industry 4.0.
I would like to ask if you have any plans in the future to integrate some common demand forecasting a…
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The primary objective of this project is to develop a robust book recommendation system that suggests titles to users based on their preferences, ratings, and reviews. Effective recommendation systems…
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Does existing or future dcv requires ML algorithms? If yes, please open an issue in https://github.com/libmir/mir/issues . Most of ML can be split to data preparation and other computations. _Other_ c…
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### Describe the solution you'd like
The folder `Machine Learning` aims to list the most popular and in demand ML Algorithms
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Need to find out what machine learning algorithms we can apply on collected data to do complex analysis and to find out some logical outcome.
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decision trees - CART 4.5
random forests
extremely random trees
kmeans
svm
SGD
http://leon.bottou.org/projects/sgd
linear regression
logistic regression
MARS
feature selection algorithms
http://…
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please add machine learning algorithms project.
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I would like to suggest adding Optimization functions, machine learning and deep learning algorithms in this repository. This can be added in a separate folder called `machine_learning` folder. Furthe…