KarimABOUSSELHAM / ISLP-applied-solutions
Solutions of applied exercises contained in "An Introduction to Statistical Learning with Applications in Python", by Tibshirani et al, edition 2023
☆24Updated last year
Alternatives and similar repositories for ISLP-applied-solutions:
Users that are interested in ISLP-applied-solutions are comparing it to the libraries listed below
- Time Series Textbooks- This repository aims to provide a host of resources that cover the gamut of time series analysis.☆58Updated last year
- Summary notes and examples for every chapter in the popular textbook "The Elements of Statistical Learning" .☆34Updated 3 years ago
- Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)☆177Updated 2 years ago
- Python for Finance module for Imperial MSc in Mathematics and Finance☆98Updated 5 months ago
- Statistical Inference Course☆41Updated 4 months ago
- Masters of Analytics at UChicago☆17Updated 5 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆328Updated 9 months ago
- Analytics labs notebooks for Statistics and Business School students☆30Updated last month
- An scrappeR of Springer books☆42Updated 9 years ago
- Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)☆24Updated last year
- This repository contains the solutions to the exercises and labs from the book "An Introduction to Statistical Learning Second Edition".☆29Updated last year
- Syllabus and exercises for "Data Science for Finance," a course taught in the Masters of Financial Engineering program at UC Berkeley's H…☆18Updated 7 years ago
- ☆20Updated last year
- Applied Data Science for Credit Risk☆128Updated this week
- Up-to-date version of labs for ISLP☆942Updated 2 weeks ago
- Resources for Statistical Computing with R 2nd ed.☆11Updated 8 months ago
- The objective of this project is to develop a Monte Carlo simulation model for portfolio optimization to maximise an investor's max retur…☆10Updated last year
- Multivariate Data Analysis☆23Updated last year
- Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such …☆115Updated 10 months ago
- We calculate PD,LGD,EAD and Expected loss using logistic and beta regression.☆9Updated 4 years ago
- Solutions to "An Introduction to Statistical Learning with Applications in R second edition"☆127Updated 3 months ago
- Homework assignments for ISYE 6740 Computational Data Analysis (Spring 2022)☆12Updated 2 years ago
- For UCLA BIOSTAT M215 (Survival Analysis) Homework☆10Updated 6 years ago
- Forecasting: principles and practice in python☆132Updated last year
- This project focuses on Supply Chain Analytics and Demand Forecasting using advanced analytics and models to optimize operations and pred…☆6Updated 9 months ago
- Machine learning for financial risk management☆21Updated last year
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆88Updated 5 years ago
- Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display meth…☆59Updated 4 years ago
- ☆32Updated 4 years ago
- ☆81Updated last year