https://github.com/amirreza81/applied-data-science-course
Comprehensive notes, practical exercises, and problem-solving solutions from the Applied Data Science course, covering data preprocessing, machine learning algorithms, statistical analysis, data visualization, and real-world applications.
https://github.com/amirreza81/applied-data-science-course
accuracy-measure boosting classification data-cleaning data-preprocessing data-science data-visualisation deep-learning dimensionality-reduction eda feature-engineering image-classification imbalanced-data kaggle-dataset machine-learning multiclass-classification pandas regression scikit-learn stroke-prediction
Last synced: 7 months ago
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Comprehensive notes, practical exercises, and problem-solving solutions from the Applied Data Science course, covering data preprocessing, machine learning algorithms, statistical analysis, data visualization, and real-world applications.
- Host: GitHub
- URL: https://github.com/amirreza81/applied-data-science-course
- Owner: Amirreza81
- License: mit
- Created: 2025-02-17T09:17:23.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-03-21T22:20:40.000Z (7 months ago)
- Last Synced: 2025-03-21T23:23:39.181Z (7 months ago)
- Topics: accuracy-measure, boosting, classification, data-cleaning, data-preprocessing, data-science, data-visualisation, deep-learning, dimensionality-reduction, eda, feature-engineering, image-classification, imbalanced-data, kaggle-dataset, machine-learning, multiclass-classification, pandas, regression, scikit-learn, stroke-prediction
- Language: Jupyter Notebook
- Homepage:
- Size: 2.76 MB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0