UTSAVS26 / PySnippets

Collection of reusable Python code snippets for all.
https://sites.google.com/view/pysnippets/
MIT License
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[Feature Request]: Machine Learning Algorithms #202

Open Parna06 opened 2 hours ago

Parna06 commented 2 hours ago

Is there an existing issue for this?

Feature Description

Machine Learning Algorithms for GitHub Feature Request

  1. Linear Regression: Predicts continuous values using a linear relationship.
  2. Logistic Regression: Classifies binary outcomes using probability.
  3. Decision Trees: Tree-like model for classification and regression.
  4. Random Forest: Ensemble of decision trees for improved accuracy.
  5. SVM: Classifies data by finding the optimal separating hyperplane.
  6. k-NN: Classifies based on nearest neighbors.
  7. Naive Bayes: Probabilistic classifier assuming feature independence.
  8. Gradient Boosting: Sequential models improving prediction accuracy.
  9. ANN: Neural network for capturing complex patterns.
  10. CNN: Neural network specialized for image recognition.
  11. RNN: Neural network for sequential data processing.
  12. Clustering (k-Means): Unsupervised grouping of similar data points.

Record

Full Name

Parna Das

Participant Role

GSSOC

github-actions[bot] commented 2 hours ago

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