Machine Learning

Apriori Algorithm

Automatic Differentiation

Data Transformations

Dimensionality Reduction

Frequent Pattern Growth

Gradient Boosting Classifier

Gradient Descent

K Nearest Neighbours

Linear Discriminant Analysis

Linear Regression

Local Weighted Learning

Logistic Regression

Loss Functions

Multilayer Perceptron Classifier

Polynomial Regression

Scoring Functions

Self Organizing Map

Sequential Minimum Optimization

Similarity Search

Support Vector Machines

Word Frequency Functions

Xgboost Classifier

Xgboost Regressor

Adaline Learning

K Nearest Neighbors

Kohonen Som Topology

Kohonen Som Trace

Neural Network

Ordinary Least Squares Regressor

K Means Clustering

Mean Absolute Error Loss

Mean Squared Error Loss

Negative Log Likelihood

ARIMA with Pyramid

K-Fold Cross-Validation of Decision Tree Regression

House Price Prediction

Linear Regression Using Pandas

Movie Recommendation System

Naive Bayes Classification

Movie Recommendation Sentance Embedding

Named Entity Recognition with Conditional Random Fields

Fundamentals of Numpy

Image Denoising Using Numpy

Face Recognition Using Eigen Faces

Piecewise Linear Transform

Reuters One vs Rest Classifier

Support Vector Machine

Bayesian Belief Networks

Price Prediction Model

Random Forest Regression

Hyperbolic tangent(without Inbuilt)