## Artificial Neural Network – Part 1

First among the series of blogs on ANN. Implemented ‘AND-gate’ logic as an ANN from scratch.

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# Tag: R

## Artificial Neural Network – Part 1

## K means clustering

## Stationarity

## Linear Programming

## KNN imputation

## Recommendation systems

## Handling Google maps location data

## Class size paradox

and machine learning

First among the series of blogs on ANN. Implemented ‘AND-gate’ logic as an ANN from scratch.

K means clustering explained using customer segmentation in R. Touches on Silhouette statistic, Calinski and Harabasz index and Elbow curve.

Discussion about stationary, random walk, deterministic drift and other vocabulary related to time series

Linear programming in R along with sensitivity analysis and cool visualizations.

Handling missing values in original mtcars data set by imputation using KNN algorithm.

Recommendation systems using associate mining rules

Getting traffic, vehicle used, location and journey time from Google Maps. Integrating these factors for in-time problem.

Explanation of class size paradox using Amrita University placement data. Contains reusable R code for web scraping.