This repo contains implementation of IP2Vec model which is used for learning similarities between IP Addresses
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Dec 1, 2023 - Jupyter Notebook
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dimentionality-reduction
Here are 40 public repositories matching this topic...
Regression, Classification, Clustering, Dimension-reduction, Anomaly detection
clustering regression xgboost pca classification lightgbm adaboost gmm folium dbscan umap stacking gradient-boosting boosting hdbscan bagging catboost gmm-clustering crossvalidation dimentionality-reduction
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Apr 27, 2024 - Jupyter Notebook
- 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…
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Mar 7, 2023 - Jupyter Notebook
Reduce the curse of dimensionality
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Apr 6, 2023 - Jupyter Notebook
Tutorial- data Pre-processing
feature-selection feature-engineering feature-scaling missing-values principal-component-analysis-pca dimentionality-reduction
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Jan 17, 2023 - Jupyter Notebook
Clustering NBA Players Based on Performance
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Oct 22, 2022 - Jupyter Notebook
Application of PCA in facial recognition
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Feb 3, 2024 - Jupyter Notebook
Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.
python random-forest scikit-learn data-preprocessing iris-dataset automated-machine-learning classsification descision-tree machine-learning-pipeline dimentionality-reduction end-to-end-ml-workflows
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Feb 14, 2024 - Python
ML Homeworks using ML tools
visualization random-forest clustering svm sklearn regression supervised-learning pca classification kmeans adaboost t-sne preprocessing unsupervised-learning decision-tree gradient-boosting dimentionality-reduction
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Nov 13, 2022 - Jupyter Notebook
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.
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May 23, 2023 - R
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Aug 1, 2023 - Python
1st year master project: Projection of a 10-dimentional dataset into 2 or 3 dimentions using the Levenberg–Marquardt optimization algorithm, which was implemented.
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May 25, 2022 - Python
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.
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Sep 21, 2021 - Jupyter Notebook
SDS course assignments
machine-learning random-forest logistic-regression decision-trees decision-tree anova mixed-models general-additive-model regularized-regression dimentionality-reduction reml bootstraping
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Jun 21, 2023 - R
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.
python clustering pca-analysis unsupervised-learning kmeans-clustering elbow-method mechine-learning dimentionality-reduction recency-frequency-monetary
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Jan 23, 2023 - Jupyter Notebook
Codes and Project for Machine Learning
regression neural-networks pca image-captioning recommender-system support-vector-machines backpropagation anomaly-detection liner-regestion dimentionality-reduction
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Nov 12, 2024 - Jupyter Notebook
Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.
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Sep 6, 2024 - Jupyter Notebook
A newspaper articles classification system based on theme/topic using BERT (HuggingFace)
nlp deep-learning transformers embeddings supervised-learning topic-modeling unsupervised-learning bert huggingface dimentionality-reduction
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May 30, 2023 - Jupyter Notebook
in this project, logistic regression, KNN, classification trees, random forests and neural network were used.
visualization neural-network random-forest pca-analysis classification datamining knn-algorithm dimentionality-reduction
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Jan 4, 2023 - R
Dimensionality Reduction Techniques and NLP
nlp random-forest pca lda svd dimentionality-reduction backward-feature-elimination forward-feature-selection missing-values-ratio low-variance-filter high-correlation-filter
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May 1, 2021 - Jupyter Notebook
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