Multiple Imputation with LightGBM in Python
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mice-algorithm
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Three in one. capture audio with mobile mic and then play, play songs from internal download directly, displaying spectogram (frequency) of an audio in Flutter.
android dart recommendation-system recording recommender-system flutter mice micex audio-spectrum audio-frequencies spectograms spectogram audio-spectrum-visualizer flutter-audio mice-algorithm audio-frequency-amplifier audio-spectrogram-transformer flutter-recording
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- Dart
End-to-end Predictive Analytics ML Project
python data-science machine-learning predictive-modeling mice-algorithm model-selection-and-evaluation
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Assignment for Data & information quality course attended @ Polimi. Analyzed performances of different imputation techniques.
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Multiple imputation with chained equation implemented from scratch. This is a low performance implementation meant for pedagogical purposes only.
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- Python
Different imputation technique with example
matrix-factorization imputation-methods mice-algorithm knn-imputation randomforest-imputation autoencoder-imputation gradientboosting-imputation bayesian-imputation
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R project for comparing different Missing Value Imputation (MVI)* approaches across three datasets.
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- R
Two Movie recommenders deployed on Flask app. The recommender are build on NMF and Cosine Similarity model, trained on MovieLens 100k, and automatically updated every 12 hour!
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- Python
Additional imputation function for the `R` package `mice`, according to the Heckman model.
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- R
This project implements a machine learning model to predict breast cancer diagnosis. Utilizing techniques such as data preprocessing, feature selection, and various algorithms, the model aims to assist in early detection and improve healthcare outcomes. Explore the repository to understand the methodology and technologies used in this project.
machine-learning feature-selection outlier-detection standardization data-preprocessing breast-cancer-prediction predictive-modeling breast-cancer-wisconsin mutual-information k-nearest-neighbours lasso-regression dbscan-clustering data-imputation randomizedsearchcv mice-algorithm tuning-hyperparameters iqr-method handling-missing-values robust-scaler
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A webapp for recommending movies based on two models: collaborative filtering with non-negative matrix factorisation and k-nearest neighbours algorithm.
python collaborative-filtering flask-application unsupervised-learning recommender-systems knn nmf random-forest-regressor mice-algorithm
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- Python
My Data Science Portfolio
data-science machine-learning data-visualization open-data weather-statistics drought-indices mice-algorithm kriging-method
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