A short guide to using Python tools to perform arbitrary curve-fitting of research data via constrained minimisation.

My Coursera assignments

A demonstration of global fitting of multiple data sets using shared variables

it is simple 2 layer neural network using only numpy as dependency

creating a mosaic of images with different color magnitude filters to produce a single color image

Machine learning exercises in Python and Keras for TRIED M2 Masters degree: Convolutional Neural Networks, Self Organising Maps, Principal Component Analysis, Linear Regression

Python function to perform the Scheirer-Ray-Hare Test

Miscellaneous data projects!

Sentimental Analysis using numpy, scipy, and sklearn in Python

Getting started with Data science Numerical Analysis and Scientific Computing

Machine Learning project using naive bayes algorithm to calculate the accuracy score of emails and to know the training time and prediction time.

Implementation of decision tree algorithm to classify email send by which sender. And calculating accuracy of the classifier as well as plotting the training data set.

This repo describes a supervised approach to text classification using different features and classifiers. This, obviously, is good to use if there is labelled data available.

Various scripts and tools used in food science

data science playground

Machine Learning with SciPy

Stock prediction for Infosys Dataset (INFY) using different Machine Learning Algorithms

Python audio splitter using scipy.io.wavfile