NotTheStallion/PCA__3D-and-from-scratch__Principal-Component-Analysis

In this project, I will be implementing Principal Component Analysis (PCA) from scratch on an ecological footprint consummation database for countries and a three-dimensional scale using a movie database. The goal of this project is to gain a deeper understanding of PCA and to demonstrate its capabilities in exploring complex datasets.

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astonglen/AirBnb-Price-Prediction

The ability to predict prices and features affecting the appraisal of property can be a powerful tool in such a cash intensive market for a lessor. Additionally, a predictor that forecasts the number of reviews a specific listing will get may be helpful in examining elements that affect a property's popularity.

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SohhamSeal/Fisher-Faces

Explore facial recognition through an advanced Python implementation featuring Linear Discriminant Analysis (LDA). This repository provides a comprehensive resource, including algorithmic steps, specific ROI code and thorough testing segments, offering professionals a robust framework for mastering and applying LDA in real-world scenarios.

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alifrmf/Country-Profiling-Using-PCA-and-Clustering

Unsupervised Machine Learning Analysis Using Clustering Model

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Xin-Bu/Dram_shop_PCA

Applies Principal Component Analysis (PCA) to dimensionality reduction using Python, SQL, and GBQ.

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AjmalSarwary/BRENT-Model

Predictive Model for BRENT price movements

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burning-river/arxiv_topic_modeling

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DanielPFlorian/Identify-Customer-Segments

Cluster population demographics to find a companies target customer base

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paocarvajal1912/Crypto_Clustering

Uses K-Means unsupervised machine learning algorithm and Principal Component Analysis to cluster cryptocurrencies based on performance in selected periods.

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AjmalSarwary/Preprocessing

Data prepration and preprocessing for predictive modeling with SAS and Python

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MihaiTudor26/Principal-Component-Analysis

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Aziz-s99/absenteeism_analysis_classification

The database was created with records of absenteeism at work from July 2007 to July 2010 at a courier company in Brazil. The objective here is to predict for each new individual, whether he is going to be absent for more than 3 hours or no (3 hours is the median for the absenteeism hours).

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iAmKankan/Data-Gathering-And-Preprocessing

Tutorial- data Pre-processing

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kennethleungty/Principal-Component-Regression

Principal Component Regression - Clearly Explained and Implemented

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namanUIUC/NonlinearComponentAnalysis

Application of principal component analysis capturing non-linearity in the data using kernel approach

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ankdeshm/World_Happiness_Index

A data analysis project comprising exploratory data analysis (EDA), principal component analysis (PCA) and multiple regression to find some meaningful insights about world's happiness from World Happiness Index 2021.

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krag-harsh/pca_implementation

Implimenting PCA using numpy and comparing the results

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jajokine/Digit-Recognizer

MITx - MicroMasters Program on Statistics and Data Science - Machine Learning with Python - Second Project

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hanaecarrie/EE5907_PatternRecognition

NUS Pattern Recognition module graded assignments

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harshit37/Dimensionality-Reduction-using-PCA-LDA-and-t-SNE

Analysing different dimensionality reduction techniques and svm

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bhavaniprasad73/Principal-Component-Analysis

Machine Learning- Unsupervised Learning(PCA)

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