This repository is made following the course by Sir Jose Portilla, and focuses on unsupervised Machine Learning algorithms. I studied all these concepts in January 2024
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Jan 10, 2024 - Jupyter Notebook
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dbscan-clustering
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This repository contains a series of notebooks exploring various clustering techniques in machine learning.
python ml comparison pca kmeans-clustering hierarchical-clustering dbscan-clustering clustering-methods gmm-clustering dimentionality-reduction
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Nov 3, 2024 - Jupyter Notebook
Creating an App by training model. There are three unsupervised learning model used for comparing better clustering and finalized herarchical model for our project Customer Segmentation. I have created Detailed notebook,dashboard & streamlit app
python machine-learning kmeans-clustering dbscan-clustering unsupervised-machine-learning heirarchical-clustering streamlit
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Dec 15, 2024 - Jupyter Notebook
Jupyter Notebooks exploring Machine Learning techniques -- regression, classification (K-nearest neighbour (KNN), Decision Trees, Logistic regression vs Linear regression, Support Vector Machine), clustering (k-means, Hierarchical Clustering, DBSCAN), sci-kit learn and SciPy -- and where it applies to the real world, including cancer detection, …
machine-learning clustering scikit-learn machine-learning-algorithms scipy logistic-regression support-vector-machine k-means decision-trees knn dbscan k-nearest-neighbours hierarchical-clustering dbscan-clustering knn-classification knn-classifier machinelearning-python
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May 21, 2020 - Jupyter Notebook
In this notebook, i have tried to appy KMeans, Hierarchical and DBSCAN clustering along PCA. The dataset used is Mall_Customers. In DBSCAN, certain type of Heatmaps are used to find the Epsilon and min_samples value which have performed quite well in identifying the correct number of clusters.
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Apr 17, 2024 - Jupyter Notebook
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