Principal Component Analysis and Fashion
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Updated
Aug 17, 2015 - Python
Principal Component Analysis and Fashion
Applied Machine Learning
Implementation of Machine Learning Algorithms
principal component analysis of leaf data set.
Implemented Principal Component Analysis to rank players who participated in the Indian Premiere League - 2012 based on the paper- "An Introductory Application of Principal Components to Cricket Data" by Ananda B.W. Manage & Stephen M. Scariano of Sam Houston State University.
Python implementation of STATIS for analysis of several data tables
The fraud identification models were build using Python Scikit-learn machine-learning module.
Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.
Recognizing the face of a particular person among a group of faces in different situations. Used k nearest neighbour classifier with different k values.
First Advanced Numerical Methods
All codes, both created and optimized for best results from the SuperDataScience Course
Principal Component Analysis method of dimension reduction for feature vectors of higher space to a lower feature space
Feature selection for maximizing expected cumulative reward
Enron fraud detect classifier using Decision tree algorithm
Demonstration of vectorization of movies, recommendation using collaborative filtering and classification.
Principal Component Analysis and Linear Discriminant Analysis in Python
Application of the statistical method principal component analysis for studying the thickness of a Silicon wafer.
In this project I used Principal Component Analysis in the Variables and used the other machine learning models for execution in both Python and R
An autoencoder for deep independence learning and distribution tying.
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