The repository is to document skills that a data scientist needs to acquire
☆19Apr 21, 2026Updated last week
Alternatives and similar repositories for data-science-fundamentals
Users that are interested in data-science-fundamentals are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Techniques for Visualization and Analytics, including OpenRefine, Gephi, D3, Hadoop, Spark, Pig, Decision Tree☆20Sep 26, 2017Updated 8 years ago
- Labs and Exercises from "An Introduction to Statistical Learning", implemented in Python.☆31Jul 16, 2018Updated 7 years ago
- Course Projects for Stanford CS142 Web Applications☆10Oct 15, 2016Updated 9 years ago
- Deep Neural Network course @ UC Berkeley, taken Spring 2019☆10Dec 7, 2022Updated 3 years ago
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Mar 7, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code and data to accompany the Udemy course End-to-end data science: decision trees☆16Jun 12, 2020Updated 5 years ago
- Personal solutions to end-of-chapter questions☆13May 10, 2019Updated 6 years ago
- Probability and Statistics in Data Science [Python] [Complete]☆11Oct 22, 2018Updated 7 years ago
- ☆11Nov 27, 2019Updated 6 years ago
- The note for data science and machine learning program☆11Jan 14, 2019Updated 7 years ago
- Labs developed for Applied Fisheries Time-series Analysis course. The link for the text is https://atsa-es.github.io/atsa-labs/☆22Dec 7, 2021Updated 4 years ago
- Gaussian Processes regression and classification implementations, as well as notebook for accompanying blog. Blog static site:☆11Jul 16, 2018Updated 7 years ago
- ☆14Feb 2, 2025Updated last year
- Computation of binomial confidence intervals that achieve exact coverage.☆14Apr 23, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆16Oct 2, 2022Updated 3 years ago
- Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyan…☆14Sep 11, 2020Updated 5 years ago
- Engineering Design Optimization☆14Nov 17, 2021Updated 4 years ago
- UC Berkeley CS189 Introduction to Machine Learning Homework☆13Oct 3, 2020Updated 5 years ago
- Computing with Eigenvalue Distributions of Large Random Matrices of the Covariance Type☆15Feb 16, 2018Updated 8 years ago
- This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.☆13Apr 9, 2024Updated 2 years ago
- Adaptive-binning for evaluation of confidence calibration☆12Jul 28, 2019Updated 6 years ago
- A Random Matrix Approach to Extreme Learning Machine☆15Feb 23, 2018Updated 8 years ago
- An example of using plumber and docker to create an API around a model☆37Jun 14, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Materials for UCL Artificial Intelligence Society Machine Learning Tutorials Season 2 (2021/2022)☆21Mar 8, 2022Updated 4 years ago
- The Genomics DeepDive project☆11Jun 20, 2016Updated 9 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Sep 25, 2024Updated last year
- Mining Massive Data Sets, taught by Jure Leskovec☆14Aug 7, 2019Updated 6 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
- An empirical investigation of deep learning theory☆16Oct 3, 2019Updated 6 years ago
- Code for our paper "Towards Principled Graph Transformers"☆13Oct 30, 2024Updated last year
- Post-processing for fair classification☆16Jun 30, 2025Updated 10 months ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Case study on evaluating statistical tools that predict recidivism.☆15Aug 1, 2024Updated last year
- csl: PyTorch-based Constrained Learning☆11Jun 1, 2022Updated 3 years ago
- Winner of "Build With Claude" Developer Challenge. A Pokemon-style trading card game that transforms S&P 500 companies into fictional cre…☆17Mar 8, 2026Updated last month
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Apr 27, 2019Updated 7 years ago
- Experiments on AMSGrad -- pytorch version☆12May 30, 2018Updated 7 years ago
- Source code accompanying the ICLR2020 publication 'Massively Multilingual Sparse Word Representations' https://openreview.net/forum?id=Hy…☆12Aug 15, 2023Updated 2 years ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆13Oct 23, 2021Updated 4 years ago