LR / SVM / XGBoost / RandomForest etc.
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May 25, 2020 - Jupyter Notebook
#
kernelpca
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This repository contains clustering techniques applied to minute weather data. It contains K-Means, Heirarchical Agglomerative clustering. I have applied various feature scaling techniques and explored the best one for our dataset
pandas-dataframe pca outlier-detection clustering-algorithm kmeans-clustering hierarchical-clustering unsupervised-machine-learning elbow-plot dendrogram truncated-svd minmaxscaling matplotlib-pyplot seaborn-plots kernelpca robust-scaling outliers-detection silhouette-score standard-scaler davies-bouldin
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Jul 2, 2022 - Jupyter Notebook
An end-to-end ML pipeline for classifying wine customer segments using the UCI Wine dataset. It leverages Kernal Principal Component Analysis (KPCA) to reduce 13 chemical features into 2 dimensions, followed by a Logistic Regression model.
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Jan 25, 2026 - Jupyter Notebook
Unsupervised learning project to cluster airline passengers based on satisfaction using KMeans and PCA. Includes feature engineering, visualization, and cluster evaluation.
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Mar 31, 2025 - Jupyter Notebook
nlp reinforcement-learning clustering numpy scikit-learn ml regression cnn pandas pca classification ann lca arl kernelpca
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Jul 15, 2022 - Jupyter Notebook
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