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csds [2023/07/12 12:39] – oboironcsds [2023/07/12 12:39] (Version actuelle) – oboiron
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 Lecture 1: Data : The data in data science Lecture 1: Data : The data in data science
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 Lab 1 : Python basics adapted from the "Machine learning preparatory week @PSL" (Python & NumPy) Lab 1 : Python basics adapted from the "Machine learning preparatory week @PSL" (Python & NumPy)
  
  
 Lecture 2: Python and pandas : Tabular data in Python Lecture 2: Python and pandas : Tabular data in Python
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 Lab 2: Notebook on European past floods Lab 2: Notebook on European past floods
  
 Lecture 3: Machine Learning: history; applications; recent successes from the "Machine learning preparatory week @PSL" Lecture 3: Machine Learning: history; applications; recent successes from the "Machine learning preparatory week @PSL"
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 Lab 3: Loading big datasets; Analyzing big datasets Lab 3: Loading big datasets; Analyzing big datasets
  
 Lecture 4: Introduction to machine learning from the "Machine learning preparatory week @PSL" Lecture 4: Introduction to machine learning from the "Machine learning preparatory week @PSL"
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 Lab 4: Dimensionality; Dimensionality reduction : Principal Component Analysis; Classification Lab 4: Dimensionality; Dimensionality reduction : Principal Component Analysis; Classification
  
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 Lecture 6: Scikit-learn: estimation and pipelines from the "Machine learning preparatory week @PSL" Lecture 6: Scikit-learn: estimation and pipelines from the "Machine learning preparatory week @PSL"
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 Lab 5: finish the previous notebooks Lab 5: finish the previous notebooks
  
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