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
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
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
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