Introduction to Data Science and Machine Learning using Python
About the workshop
Held at J.P. Morgan’s office and run in collaboration with the Technology division of JPMorgan Chase and Cambridge Spark, this intensive one-day course is designed to teach UK-based university students essential data science skills and advanced machine learning techniques.
The course is extremely interactive and hands-on, presenting and working through concrete problems using a real-world dataset. You will learn how to clean, explore and visualise real-world data, identify important features and trends, and understand how to develop, evaluate and refine state-of-the-art machine learning models. Then at the end of the day, you will cement your skills by tackling a competition project. After the competition finishes at 6pm, there will be networking drinks.
No previous experience of Python is required, you will learn the fundamentals on the day.
Workshop Topics Include:
- Overview of Machine Learning
- Exploratory Data Analysis
- Decision Trees, Random Forests and ensemble models
- Support Vector Machines
- Overfitting, bias-variance trade-off, hyperparameter tuning
- Kaggle-like coding competition
When and where
Date: Saturday 3rd November
Location: Alhambra House, 45 Waterloo St, Glasgow, G2 6HS
You must be studying at a UK-based university and be comfortable with basic programming concepts. Familiarity with Python is a bonus.
About J.P.Morgan Chase
J.P. Morgan serves one of the largest client franchises in the world. Our clients include corporations, institutional investors, hedge funds, governments and affluent individuals in more than 100 countries. J.P. Morgan is part of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.1 trillion. The firm is a leader in investment banking, financial services for consumers, small business and commercial banking, financial transaction processing, asset management, and private equity. A component of the Dow Jones Industrial Average, JPMorgan Chase serves millions of clients and consumers under its JPMorgan and Chase, and WaMu brands.