Machine Learning for Finance Professionals

ML4FinJuly17

"If I had more time, I would have written a shorter letter." — Blaise Pascal. This course teaches you in just four hours how to apply machine learning (ML) to real-life problems in finance. Enjoy the learning!

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Course curriculum

1. Getting started
2. Installation links
3. Stock market explained in 15 seconds
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4. First code
5. Textbooks
1. Lecture 1
2. Essential libraries and tools
3. Downloads
1. Lecture 2
2. Data pre-processing
3. Downloads
1. Lecture 3
2. Downloads
1. Lecture 4
2. Downloads
1. Lecture 5
2. Downloads
1. Lecture 6
2. Downloads

About this course

CHF1,790.00
7 Lessons (slides + audio)
Guided coding in Python

Welcome

ML4FinJuly17

Course curriculum

Lecture 0: Getting started

Lecture 1: Introduction

Lecture 2: Anatomy of an ML algorithm

Lecture 3: Supervised ML (regularized, logistic regression, k-NN)

Lecture 4: Supervised ML (SVMs, naive Bayes classifiers, tree-based models)

Lecture 5: Supervised ML (neural networks, explainable AI)

Lecture 6: Model performance evaluation and improvement

About this course