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The Algorithms

Machine Learning

Scoring Functions

Sequential Minimum Optimization

K Nearest Neighbours

Word Frequency Functions

Similarity Search

Data Transformations

Xgboost Regressor

Lstm Prediction

Linear Regression

Polymonial Regression

Self Organizing Map

Gradient Descent

Linear Discriminant Analysis

Multilayer Perceptron Classifier

Support Vector Machines

Logistic Regression

Local Weighted Learning

Xgboost Classifier

Ordinary Least Squares Regressor

Adaline Learning

Neural Network

Kohonen Som Trace

Kohonen Som Topology

K Means Clustering

Price Prediction Model

Random Forest Regression

Piecewise Linear Transform

Linear Regression Using Pandas

House Price Prediction

Reuters One vs Rest Classifier

K-Fold Cross-Validation of Decision Tree Regression

Movie Recommendation System

Image Denoising Using Numpy

Face Recognition Using Eigen Faces

Fundamentals of Numpy

Named Entity Recognition with Conditional Random Fields

Movie Recommendation Sentance Embedding

Support Vector Machine

Naive Bayes Classification

ARIMA with Pyramid

Threshold(without Inbuilt)

Piecewise(without Inbuilt)

Hyperbolic tangent(without Inbuilt)