dimentionality-reduction

There are 1 repository under dimentionality-reduction topic.

ptiagi / IP2Vec
This repo contains implementation of IP2Vec model which is used for learning similarities between IP Addresses
ip-simmilarity python3 dimentionality-reduction clustering dbscan-clustering tsne-visualization
Language:Jupyter Notebook 11
gulabpatel / Machine-Learning
Regression, Classification, Clustering, Dimension-reduction, Anomaly detection
regression adaboost bagging boosting catboost classification clustering gradient-boosting lightgbm stacking xgboost crossvalidation gmm gmm-clustering pca dbscan hdbscan umap dimentionality-reduction folium
Language:Jupyter Notebook 6
akashjborah97 / Graph-Based-Feature-Selection-for-Dimensionality-Reduction
- Graph Based Feature Selection is a new approach of reducing the dimensionality of a dataset using a Graph Based approach. - The apporach tries to generate a Kruskal's minimum spanning tree of a graph where the features of the dataset are the vertices and the correlation among them are the weights of the edges. -The edges having weights greater than the user defined threshold are removed. Hence, reducing the dimension of the dataset.
dimentionality-reduction graph machine-learning new-approach python
Language:Jupyter Notebook 4
1995parham-teaching / dimensionality-reduction
Reduce the curse of dimensionality
machine-learning data-science dimentionality-reduction teaching
Language:Jupyter Notebook 2
iAmKankan / Data-Gathering-And-Preprocessing
Tutorial- data Pre-processing
missing-values feature-scaling feature-selection feature-engineering dimentionality-reduction principal-component-analysis-pca
Language:Jupyter Notebook 2
UoA-CARES / dvr_test_box_RL
dimentionality-reduction latent-space reinforcement-learning vision-ba-learning
Language:Python 2
blitzapurv / Clustering-basketball-players-based-on-performance
Clustering NBA Players Based on Performance
clustering dimentionality-reduction sports unsupervised-learning hypothesis-testing
Language:Jupyter Notebook 1
cchohra / ImpactOfDRonIDSinIoT
This code is a part of a research project. It aims to identify the impact of the dimentionality reduction techniques on the accuracy and performance of machine learning based intrusion detection systems in IoT environments.
dimentionality-reduction ids internet-of-things intrusion-detection-system iot machine-learning
Language:Python 1
faizns / Airline-Customer-Segmentation-Based-on-LRFMC-Model-Using-KMeans
This project focused on applying machine learning to build a clustering model to segment and analyze customer characteristics in the airline industry based on LRFMC scores using K-Means and suggest business strategy recommendations based on the results.
clustering dimentionality-reduction elbow-method kmeans-clustering mechine-learning pca-analysis python recency-frequency-monetary unsupervised-learning
Language:Jupyter Notebook 1
fazelelham32 / Machine-Learning-Workshop-python-mathlab-R
Codes and Project for Machine Learning
anomaly-detection backpropagation dimentionality-reduction image-captioning liner-regestion neural-networks pca recommender-system regression support-vector-machines
Language:Jupyter Notebook 1
IbrahimElzahaby / Statistics_for_Data_Scientists_-SDS-
SDS course assignments
machine-learning decision-tree random-forest anova bootstraping decision-trees dimentionality-reduction general-additive-model logistic-regression mixed-models regularized-regression reml
Language:R 1
JoaoAfonsoBatista / Linear-and-Non-Linar-Optimization
1st year master project: Projection of a 10-dimentional dataset into 2 or 3 dimentions using the Levenberg–Marquardt optimization algorithm, which was implemented.
dimentionality-reduction levenberg-marquardt-algorithm optimization projection python
Language:Python 1
LuciferDIot / Vehicle-Clustering-and-Dimensionality-Reduction
This work involves two subtasks: assessing clustering results using all input variables and applying PCA for dimensionality reduction to improve understanding of multi-dimensional problems.
clustering-algorithm dimentionality-reduction machine-learning-algorithms pca
Language:R 1
naorbarzilay / ML
ML Homeworks using ML tools
classification clustering pca regression supervised-learning t-sne unsupervised-learning adaboost decision-tree kmeans dimentionality-reduction gradient-boosting preprocessing random-forest sklearn svm visualization
Language:Jupyter Notebook 1
SohhamSeal / Eigen-Faces
Application of PCA in facial recognition
dimentionality-reduction eigendecomposition eigenfaces pca svd
Language:Jupyter Notebook 1
yessinek97 / Customer-Churn-Prediction
The pupose of this work is to create a model that helps predict the unsubscription (churn) of a given customer or a group of customers according to their age, gender, salary etc... using the provided data.
python dimentionality-reduction logistic-regression
Language:Jupyter Notebook 1
zakaria-ybeggazene / newspaper_topic_classification_with_BERT
A newspaper articles classification system based on theme/topic using BERT (HuggingFace)
bert deep-learning dimentionality-reduction embeddings huggingface nlp supervised-learning topic-modeling transformers unsupervised-learning
Language:Jupyter Notebook 1
abhipatel35 / Automated-Machine-Learning-Pipeline-for-Iris-Dataset-Classification
Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.
automated-machine-learning classsification data-preprocessing descision-tree dimentionality-reduction iris-dataset machine-learning-pipeline python random-forest scikit-learn end-to-end-ml-workflows
Language:Python 0
Archanakokate / ML_Mercedes_Benz_Greener_Manufacturing_Project
This project involves reducing testing time for car configurations. The tasks include removing columns with zero variance, checking for null values, applying label encoding, performing dimensionality reduction, and using XGBoost to predict testing time.
data-visualization encoding exploratory-data-analysis machine-learning-algorithms dimentionality-reduction
Language:Jupyter Notebook 0
ArtemKornev0 / Classification-task.-Based-Occupancy-Estimation-Using-Multivariate-Sensor-Nodes-
Задача классификации (Оценка занятости помещения на основе многомерных сенсорных узлов) / Classification task. (Based Occupancy Estimation Using Multivariate Sensor Nodes)
classification dimentionality-reduction lightgbm-classifier metrics optuna prediction umap
Language:Jupyter Notebook 0
aryanrzn / Prediction-of-Family-Income-and-Expenditure
in this project, logistic regression, KNN, classification trees, random forests and neural network were used.
classification datamining dimentionality-reduction knn-algorithm neural-network pca-analysis random-forest visualization
Language:R 0
koushik16 / Fisher-Linear-Discriminent-for-Dimentionality-Reduction
Fisher's LDA is a dimensionality reduction and classification method maximizing class separability by finding linear discriminants that optimize the ratio of between-class to within-class variance.
applied-machine-learning data-visualization dimentionality-reduction machine-learning-algorithms
Language:Jupyter Notebook 0
soumyadeepghoshGG / Dimensionality-Reduction
A Python library for easy and effective feature reduction in machine learning and data science. It includes various techniques to streamline your feature selection process with FeatureReductor.
dimentionality-reduction machine-learning python statistics
Language:Python 0
hmtalha786 / Wine-Quality-Prediction
Implementation of PCA with KNN Clustering
dimentionality-reduction k-nearest-neighbours principle-component-analysis
Language:Jupyter Notebook
it-is-lokesh / Dimentionality-Reduction
Find codes to various dimentionality reduction techniques here!
dimentionality-reduction principal-component-analysis python data-science
Language:Jupyter Notebook
khushi-411 / fashion-mnist
Dimensionality Reduction Techniques and NLP
dimentionality-reduction random-forest backward-feature-elimination forward-feature-selection svd pca lda nlp missing-values-ratio low-variance-filter high-correlation-filter
Language:Jupyter Notebook
Kiariemuiruri / Loan-Application-Classifier-Algorithm
ML Classification Algorithm to predict Approval or Decline of a Loan
classification dimentionality-reduction logistic-regression ml sklearn
Language:Jupyter Notebook
Pattern-Recognition-and-Machine-Learning
madhurimarawat / Pattern-Recognition-and-Machine-Learning
This repository contains Pattern Recognition and Machine Learning programs in the Python programming language.
artificial-neural-networks data-reduction decision-trees dimentionality-reduction k-means-clustering k-nearest-neighbours logistic-regression machine-learning-algorithms mnist-dataset monte-carlo-simulation multivariate-linear-regression naive-bayes-classifier pre-processing-data predict-stock-prices principal-component-analysis python python-libraries social-networking-dataset support-vector-machines text-classifier
Language:Jupyter Notebook
mehdi-aitaryane / pca-algorithm-from-scratch
A Python implementation of PCA algorithm from scratch using numpy
dimentionality-reduction machine-learning machine-learning-algorithms numpy pca pca-analysis python synthetic-dataset-generation jupyter-notebook
Language:Jupyter Notebook
Mwadz / Unsupervised-Learning
Applying Unsupervised learning algorithm and dimensionality reduction while solving business problems.
association-rules dimentionality-reduction feature-selection fraud-detection unsupervised-learning
pgplarosa / Understanding-Customers-Priorities-to-Discover-Opportunity-Areas
Data Mining and Wrangling Mini Project 3 - August 25, 2021
dimentionality-reduction latent-semantic-analysis natural-language-processing
Language:HTML
pouyaardehkhani / Dimensionality-Reduction-Techniques
This project intends to show the ways we can perform dimensionality reduction techniques on our data.
feature-selection dimentionality-reduction
Language:Jupyter Notebook
prateekagr21 / customer-expenditure-segmentation
A new approach in understanding the needs of Ideal customers of a company by performing a segmentation based analysis using Machine Learning Algorithms.
agglomerative-clustering dimentionality-reduction pca
Language:Jupyter Notebook
pratmo / wine-pca-clustering
Performing hierarchical and k-means clustering with and w/o PCA technique for dimentionality reduction.
pca-analysis clustering pca k-means-clustering hierarchical-clustering machine-learning dimentionality-reduction data-science
Language:Jupyter Notebook
SamiSHOKER / Analysis-of-Alternative-Fuel-Vehicle-Adoption-NHTS-Case
This project is a binary classification problem that compares between different parametric and non parametric machine learning models to predict the adoption of alternative fuel vehicles.
machine-learning python r dimentionality-reduction econometrics
Language:Jupyter Notebook
vassef / MLP-in-classfication-regression-and-AutoEncoder-in-dimentionality-reduction
classification mlp-classifier regression autoencoder dimentionality-reduction
Language:Jupyter Notebook

dimentionality-reduction

ptiagi / IP2Vec

gulabpatel / Machine-Learning

akashjborah97 / Graph-Based-Feature-Selection-for-Dimensionality-Reduction

1995parham-teaching / dimensionality-reduction

iAmKankan / Data-Gathering-And-Preprocessing

UoA-CARES / dvr_test_box_RL

blitzapurv / Clustering-basketball-players-based-on-performance

cchohra / ImpactOfDRonIDSinIoT

faizns / Airline-Customer-Segmentation-Based-on-LRFMC-Model-Using-KMeans

fazelelham32 / Machine-Learning-Workshop-python-mathlab-R

IbrahimElzahaby / Statistics_for_Data_Scientists_-SDS-

JoaoAfonsoBatista / Linear-and-Non-Linar-Optimization

LuciferDIot / Vehicle-Clustering-and-Dimensionality-Reduction

naorbarzilay / ML

SohhamSeal / Eigen-Faces

yessinek97 / Customer-Churn-Prediction

zakaria-ybeggazene / newspaper_topic_classification_with_BERT

abhipatel35 / Automated-Machine-Learning-Pipeline-for-Iris-Dataset-Classification

Archanakokate / ML_Mercedes_Benz_Greener_Manufacturing_Project

ArtemKornev0 / Classification-task.-Based-Occupancy-Estimation-Using-Multivariate-Sensor-Nodes-

aryanrzn / Prediction-of-Family-Income-and-Expenditure

koushik16 / Fisher-Linear-Discriminent-for-Dimentionality-Reduction

soumyadeepghoshGG / Dimensionality-Reduction

hmtalha786 / Wine-Quality-Prediction

it-is-lokesh / Dimentionality-Reduction

khushi-411 / fashion-mnist

Kiariemuiruri / Loan-Application-Classifier-Algorithm

madhurimarawat / Pattern-Recognition-and-Machine-Learning

mehdi-aitaryane / pca-algorithm-from-scratch

Mwadz / Unsupervised-Learning

pgplarosa / Understanding-Customers-Priorities-to-Discover-Opportunity-Areas

pouyaardehkhani / Dimensionality-Reduction-Techniques

prateekagr21 / customer-expenditure-segmentation

pratmo / wine-pca-clustering

SamiSHOKER / Analysis-of-Alternative-Fuel-Vehicle-Adoption-NHTS-Case

vassef / MLP-in-classfication-regression-and-AutoEncoder-in-dimentionality-reduction