Course 6 : Decision Trees, Ensemble methods
Lecture 6 : Lecture 6.pdf.
Notebook of Lecture 6 : Lecture6.ipynb.
Practical Session 6 : PracticalSession6.pdf.
Datasets : titanic.csv, FinancialDistress.csv
Notebook : PracticalSession6Ex1.ipynb, PracticalSession6Ex2.ipynb
Course 5: Beyond OLS
Lecture 5: Lecture 5.pdf.
Lecture 5 notebook : Lecture5.ipynb
Practical session 1
Exploratory Data Analysis : EDA1.pdf. The dataset Ames House : AmesHouseDataset.csv
Exploratory Data Analysis 2: EDA2.pdf. Dataset : titanic.csv
Course 4 : Basics of clustering
Lecture 4 : Lecture4.pdf.
Notebook of Lecture 4 : Lecture4.ipynb
More about hierarchical clustering
Course 3 : PCA, NMF and t-SNE
Lecture 3 : Lecture3.pdf.
Notebooks of Lecture 3 : LinearAlgebraBasics.ipynb, pca_breast.ipynb
Dataset : GSE5325_markers.csv
An interesting book about PCA for Data Science
Course 2 : Missing values
Lecture2 : Lecture2.pdf. Notebook of Lecture2 : Lecture2.ipynb.
Course 1 : Basics on Random Variables and Exploratory Data Analysis
Lecture 1 : Lecture1.pdf. Exploratory Data Analysis : EDA1.pdf
The dataset Ames House : AmesHouseDataset.csv
Notebook of Lecture 1 : Lecture1.ipynb
Basics on Python
Introduction to Python : IntroductionPython.ipynb
Introduction to the Numpy library: IntroductionNumpy.ipynb
Introduction to the Pandas library : IntroductionPandas.ipynb. The dataset president_heights.csv
Introduction to Python for data science : Tutorial or Other Tutorial