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The Algorithms

Machine Learning

Lstm Prediction

Random Forest Classifier

Gradient Boosting Regressor

Scoring Functions

Data Transformations

Multilayer Perceptron Classifier

Random Forest Regressor

Similarity Search

K Nearest Neighbours

Gaussian Naive Bayes

Polymonial Regression

Linear Regression

Word Frequency Functions

Support Vector Machines

Local Weighted Learning

Sequential Minimum Optimization

Gradient Descent

Linear Discriminant Analysis

Logistic Regression

Kohonen Som Trace

Kohonen Som Topology

Adaline Learning

Neural Network

Ordinary Least Squares Regressor

K Means Clustering

Movie Recommendation System

Naive Bayes Classification

K-Fold Cross-Validation of Decision Tree Regression

Reuters One vs Rest Classifier

ARIMA with Pyramid

Linear Regression Using Pandas

Fundamentals of Numpy

Support Vector Machine

Named Entity Recognition with Conditional Random Fields

Movie Recommendation Sentance Embedding

Random Forest Regression

House Price Prediction

Threshold(without Inbuilt)

Hyperbolic tangent(without Inbuilt)

Piecewise(without Inbuilt)