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The Algorithms

Machine Learning

Gradient Descent

Word Frequency Functions

Lstm Prediction

Support Vector Machines

Similarity Search

Sequential Minimum Optimization

Linear Regression

Gradient Boosting Regressor

Logistic Regression

Random Forest Regressor

K Nearest Neighbours

Multilayer Perceptron Classifier

Scoring Functions

Data Transformations

Linear Discriminant Analysis

Gaussian Naive Bayes

Random Forest Classifier

Polymonial Regression

Adaline Learning

Neural Network

Kohonen Som Trace

Kohonen Som Topology

Ordinary Least Squares Regressor

K Means Clustering

K-Fold Cross-Validation of Decision Tree Regression

ARIMA with Pyramid

Fundamentals of Numpy

Movie Recommendation Sentance Embedding

Named Entity Recognition with Conditional Random Fields

House Price Prediction

Threshold(without Inbuilt)

Piecewise(without Inbuilt)

Hyperbolic tangent(without Inbuilt)