My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.
☆91Apr 2, 2019Updated 7 years ago
Alternatives and similar repositories for my-solutions-The-Elements-of-Statistical-Learning
Users that are interested in my-solutions-The-Elements-of-Statistical-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedman☆63May 13, 2020Updated 5 years ago
- Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book☆28Oct 6, 2021Updated 4 years ago
- source code of AISTATS 2020 paper: Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs☆11Jun 21, 2022Updated 3 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆917Jul 18, 2021Updated 4 years ago
- ☆287Nov 20, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆12Apr 30, 2019Updated 7 years ago
- My solutions to Stanford CS221 (Artificial Intelligence) homework code problems☆28Apr 24, 2020Updated 6 years ago
- Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated l…☆14Jun 20, 2020Updated 5 years ago
- Princeton Algorithm solution. 普林斯顿算法公开课大作业题解(共10个)。☆15Nov 17, 2019Updated 6 years ago
- 短视频内容理解与推荐竞赛☆12Feb 18, 2019Updated 7 years ago
- A novel unsupervised batch removal framework, called iMAP, based on neural networks.☆35Jan 12, 2022Updated 4 years ago
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆14Jan 5, 2022Updated 4 years ago
- PySpark-based causal inference package.☆13Aug 20, 2021Updated 4 years ago
- Example of Good Scientific Programming Practice☆12Jun 28, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".☆70Oct 18, 2021Updated 4 years ago
- ☆21Apr 16, 2024Updated 2 years ago
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆18Mar 6, 2024Updated 2 years ago
- Bencharking pipeline for evaluating Transcriptomic representations for perturbation tasks☆12Nov 5, 2024Updated last year
- Sources for OpenDreamKit's website☆16Feb 23, 2024Updated 2 years ago
- ☆13Sep 23, 2020Updated 5 years ago
- Probabilistic robotic algorithms☆10Feb 5, 2022Updated 4 years ago
- ☆15Jan 13, 2021Updated 5 years ago
- Material para el curso de learnr☆10Apr 1, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis☆19May 5, 2019Updated 6 years ago
- kmeans-gpu with pytorch support☆13Jul 8, 2021Updated 4 years ago
- Deep Neural Network course @ UC Berkeley, taken Spring 2019☆10Dec 7, 2022Updated 3 years ago
- [CVPR-2024] Text-Enhanced Data-free Approach for Federated Class-Incremental Learning☆20Dec 26, 2024Updated last year
- This project is about energy efficiency and renewable energy topic. Developed multivariate time series model to forecast global warming. …☆10Sep 29, 2020Updated 5 years ago
- ☆14Jul 17, 2023Updated 2 years ago
- GIANT (Gene-based data Integration and ANalysis Technique) is a method for large-scale joint analyses of atlas-level single cell data.☆14Jun 13, 2023Updated 2 years ago
- Materials for the lab component of DS-GA 1015 Text-as-Data (Spring 2019).☆18Jan 15, 2020Updated 6 years ago
- BERT for few_shot_learning, provided siamese net, match net, prototypical net☆12Jan 6, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Student Solutions to An Introduction to Statistical Learning with Applications in R☆204Apr 6, 2021Updated 5 years ago
- sequence tagging for NER for ULMFiT☆20Nov 4, 2020Updated 5 years ago
- Interactive R tutorials with Binder and learnr package☆14Sep 15, 2020Updated 5 years ago
- Mickaël CANOUIL curriculum vitae.☆17Apr 5, 2026Updated 3 weeks ago
- Code for Coursera's Machine Learning and Data Analysis specialization☆21Dec 31, 2016Updated 9 years ago
- Matlab implementation for IJCAI19:multi-view clustering with late fusion alignment maximization☆10Aug 8, 2020Updated 5 years ago
- Materials for the UO Psych SummeR Bootcamp 2020☆16Aug 13, 2021Updated 4 years ago