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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. Further, this folder can contain various algorithms that are used in machine learning and deep learning.
Initially, these Optimization functions can be added under machine_learning/optimization/
- Gradient Descent
- Stochastic Gradient Descent (SGD)
- Mini-Batch Gradient Descent
- Adam (Adaptive Moment Estimation)
- RMSprop (Root Mean Square Propagation)
- AdaGrad (Adaptive Gradient Algorithm)
And these in machine_learning/
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- Support Vector Machines (SVM)
- K-Nearest Neighbors (K-NN)
- Naive Bayes
- K-Means Clustering
- Principal Component Analysis (PCA)
siriak, sudo-rsingh and Lachevsky