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The Algorithms

Machine Learning

Logistic Regression

Dimensionality Reduction

Xgboost Regressor

Polymonial Regression

Self Organizing Map

Linear Regression

Lstm Prediction

Linear Discriminant Analysis

Support Vector Machines

Scoring Functions

Gradient Descent

Xgboost Classifier

Word Frequency Functions

Multilayer Perceptron Classifier

K Nearest Neighbours

Sequential Minimum Optimization

Local Weighted Learning

Data Transformations

Similarity Search

Kohonen Som Trace

Kohonen Som Topology

Adaline Learning

K Nearest Neighbors

Ordinary Least Squares Regressor

Neural Network

K Means Clustering

K-Fold Cross-Validation of Decision Tree Regression

Movie Recommendation System

Naive Bayes Classification

Random Forest Regression

ARIMA with Pyramid

House Price Prediction

Movie Recommendation Sentance Embedding

Named Entity Recognition with Conditional Random Fields

Piecewise Linear Transform

Fundamentals of Numpy

Face Recognition Using Eigen Faces

Image Denoising Using Numpy

Support Vector Machine

Linear Regression Using Pandas

Reuters One vs Rest Classifier

Price Prediction Model

Threshold(without Inbuilt)

Hyperbolic tangent(without Inbuilt)

Piecewise(without Inbuilt)