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The Algorithms

Machine Learning

Linear Discriminant Analysis

Word Frequency Functions

Gaussian Naive Bayes

Gradient Descent

Random Forest Classifier

Similarity Search

Multilayer Perceptron Classifier

Linear Regression

Local Weighted Learning

K Nearest Neighbours

Sequential Minimum Optimization

Scoring Functions

Data Transformations

Logistic Regression

Random Forest Regressor

Support Vector Machines

Gradient Boosting Regressor

Lstm Prediction

Polymonial Regression

Neural Network

Ordinary Least Squares Regressor

Adaline Learning

Kohonen Som Topology

Kohonen Som Trace

K Means Clustering

Random Forest Regression

Support Vector Machine

K-Fold Cross-Validation of Decision Tree Regression

House Price Prediction

Movie Recommendation System

Linear Regression Using Pandas

Reuters One vs Rest Classifier

ARIMA with Pyramid

Movie Recommendation Sentance Embedding

Named Entity Recognition with Conditional Random Fields

Naive Bayes Classification

Fundamentals of Numpy

Threshold(without Inbuilt)

Hyperbolic tangent(without Inbuilt)

Piecewise(without Inbuilt)