GitHub / AdityaSreevatsaK / DS-ML-Playground
A collection of data science and machine learning projects showcasing complete workflows, from data cleaning and preprocessing to model building and evaluation. Dive into diverse datasets, explore a range of techniques, and experiment with models in this comprehensive playground for learning and innovation.
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PURL: pkg:github/AdityaSreevatsaK/DS-ML-Playground
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 40.2 MB
Dependencies parsed at: Pending
Created at: 10 months ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 6 months ago
Topics: agglomerative-clustering, data-science, dbscan, decision-trees, gaussian-naive-bayes, gradient-boosting, hierarchical-clustering, holt-winters-forecasting, k-means-clustering, knn, linear-regression, logistic-regression, machine-learning, python, random-forest, sarimax, supervised-learning, time-series-forecasting, unsupervised-learning, xgboost