Evaluation
You shall have to choose one of the following subjects and write a report on it.
Course 7 : Neural Networks
Lecture 7 : Lecture 7.pdf.
Lab 7 : Lab7.pdf. Data : stock_prices.csv
ComplementsPracticalSession7.ipynb. Data : AirPassengers.csv
Complements : WebsiteMLP and WebsiteLSTM
Course 6 : Principal Component Analysis
Lecture 6 : Lecture 6.pdf.
Notebook of the course : Lecture6.ipynb
Lab 6 : Lab6.pdf
Complements : ComplementsPracticalSession6.ipynb
Data : mamals.cvs
Course 5 : Refresher on linear algebra
Lecture 5 : Lecture 5.pdf.
Notebook of the course : Lecture5.ipynb
Course 4 : Introduction to supervised learning
Lecture 4 : Lecture 4.pdf.
Course 3 : Risk measures
Lecture 3 : Lecture 3.pdf.
More : RiskMeasures
Lab 3 : Lab3.pdf. Notebook of Lab3 : Lab3.ipynb
Download Financial Data with Python : Website
Course 2 : Black and Scholes formula
Lecture 2 : Lecture2.pdf
More : WienerProcess, BlackScholesFormula, Greeks
Lab 2 : Lab2.pdf. Notebook of Exercise 1 of Lab 2 : Lab2Ex1.ipynb
Course 1 : Main financial products
Lecture 1 : Lecture 1.pdf.
A general website on options : Website
Lab 1 : Lab1.pdf. Notebook of Lab1 : Lab1.ipynb
Course 0 : Basics on Probability and Statistics with Python
Lecture 0 : Lecture 0.pdf.
Complements on Python : BasicsPython0.ipynb. Dataset cereals.csv
Lab 0 : Lab0.pdf. The dataset AirLiquide : DataAirliquide.csv. Notebook of Lab0 : Lab0.ipynb
Introduction to Python : IntroductionPython.ipynb
Introduction to the Numpy library: IntroductionNumpy.ipynb
Introduction to the Pandas library : IntroductionPandas.ipynb
Introduction to Python for data science : Tutorial or Other Tutorial
Install google colab : google colab
Use google colab : Tutorial
Import data on colab : Tutorial