ryanluoli1 / UCL-MSc-Data-Science-and-Machine-LearningLinks
Lecture Notes and Projects of the MSc Data Science and Machine Learning programme at UCL.
☆19Updated 2 years ago
Alternatives and similar repositories for UCL-MSc-Data-Science-and-Machine-Learning
Users that are interested in UCL-MSc-Data-Science-and-Machine-Learning are comparing it to the libraries listed below
Sorting:
- Python for Finance module for Imperial MSc in Mathematics and Finance☆99Updated 7 months ago
- A collection of take home data science challenges practice☆16Updated 6 years ago
- Practical, hands-on risk modeling, risk assessment and verifications of risk models across major risk classes and understanding risk regu…☆12Updated 3 years ago
- Masters of Analytics at UChicago☆17Updated 5 years ago
- Cheat sheets for UCL's 2018/19 machine learning modules☆63Updated 6 years ago
- Preparation material and resources for the ML (including DL) and Quant Research interviews☆130Updated 4 years ago
- Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such …☆122Updated last year
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆93Updated last year
- Beginner friendly tutorial notebooks on traiditional machine learning models.☆7Updated 2 years ago
- This course in applied data science covers the theoretical foundations of advanced quantitative approaches in machine learning, econometr…☆37Updated 2 months ago
- Forecasting: Principles and Practice☆59Updated 3 years ago
- QuantNet course on C++ programming (completed with Certificate with Distinction)☆67Updated 2 years ago
- This repository contains the solutions to the exercises and labs from the book "An Introduction to Statistical Learning Second Edition".☆31Updated last year
- Books for Quant Finance Interviews☆78Updated 9 years ago
- ☆20Updated 2 years ago
- Quant books - Math, Coding, Interviews, Paper☆36Updated 7 years ago
- Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python☆104Updated 2 months ago
- Bayesian Statistics-Econometrics☆87Updated last year
- Collection of my assignments and work in the class MATH51 at Stanford☆93Updated 10 years ago
- My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller☆240Updated 6 years ago
- ☆80Updated 2 years ago
- A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on …☆207Updated 11 months ago
- Repo for Statistical Learning course offered by Stanford University☆50Updated 5 years ago
- Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)☆27Updated last year
- Question bank for ML/Quant Interviews☆50Updated 3 years ago
- My self-practice Jupyter notebooks which reproduce the results from Datacamp Data Science lectures.☆28Updated 2 years ago
- ☆72Updated 3 years ago
- Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques o…☆428Updated last year
- JP morgan virtual internship Quantitative Research☆14Updated last year
- A series of lessons on time series analysis with Python☆71Updated 11 months ago