This is Repository in which I will upload projects done in MTH 686 A in IIT Kanpur . The course instructor is our favorite and respected Sir Debashis Kundu
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Updated
Feb 25, 2017 - R
This is Repository in which I will upload projects done in MTH 686 A in IIT Kanpur . The course instructor is our favorite and respected Sir Debashis Kundu
R Codes as a part of coursework
A library of functions to perform quantitative analysis of MRI data
Non linear regression on housing dataset using a Neural Networks based approach
**curve_fit_utils** is a Python module containing useful tools for curve fitting
This project is a part of an attempt to explore properties of languages from the perspective of quantitative linguistics. We're examining similarities and differences among different languages across the globe using homoscedasticty and non-linear regression techniques.
An R Package for Fitting Functional Models to 2-Dimensional Data
stanford university
A Chinese guide book for learning Tensorflow from a starter.
This repository is intended to provide a slideshow of classification models, with a focus on the statistical properties of each approach. Specifically, a wide variety of both linear and non-linear methods are adopted and then compared, ranging from Linear Probability Model and Logistic Regression to Quadratic Discriminant Analysis and Generalise…
Define, build, and evaluate machine learning models for real-world applications
Using various non-linear regression models the HR team of a company tries to predict whether the expected salary quoted by an interviewee is suitable for his position or not.
Linear Regression with Abalone Dataset
The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)
Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS
Machine Learning with Python
Predicted the store level- Global, Division , Department at which the Mean Absolute Percent error is the least for the lift obtained through promotional and baseline sales.
Repo where different methods for price regression are used (supervised machine learning)
This project is on Data Mining process using R depending on ISLR book.
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