Refresher for Master 1 NLP and Cognitive Sciences
Semester 1 : Refresher for Probability and Statistics
Course 5 : Recap
Practical Session 2 : PracticalSession2.pdf. The dataset AirLiquide : DataAirliquide.csv.
Complements on Python : BasicsPython.ipynb. Dataset cereals.csv
Course 4 : Recap
Practical Session 1 : PracticalSession1.pdf. Dataset : titanic.csv, middle-tn-schools.csv. Ex1PartI.ipynb
Course 3 : Correlated Random variables with Python
Introduction to data visualization with the Seaborn library : IntroductionSeaborn.ipynb
Third lecture on Random Variables : CM_RandomVariables3.pdf. Notebook of the Lecture : Lecture3.ipynb. Dataset : iris.csv
Linear algebra refresher : LinearAlgebraRefresher.ipynb
Course 2 : More on Random Variables with Python
Second lecture on Random Variables : CM_RandomVariables2.pdf
Notebook of the course : PS0.ipynb
Practical session on Random Variables : PracticalSession1.pdf.
Course 1 : Basics on Random Variables with Python
First lecture on Random Variables : CM_RandomVariables1.pdf. 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
Install google colab : google colab
Use google colab : Tutorial
Import data on colab : Tutorial