Imperial-College-Data-Science-Society / Challenges
ICDSS Advanced Data Science Team Challenges 2020-2021
☆14Updated 2 years ago
Alternatives and similar repositories for Challenges
Users that are interested in Challenges are comparing it to the libraries listed below
Sorting:
- ICDSS Machine Learning Workshop Series: Machine Learning APIs☆9Updated 7 years ago
- ☆19Updated 2 years ago
- ICDSS Machine Learning Workshop Series: Neural Networks☆17Updated 7 years ago
- AI Core NLP Course☆20Updated 4 years ago
- Data Visualization With Seaborn☆10Updated 4 years ago
- Applied Data Science by Geoffrey Link☆10Updated 3 years ago
- Experiments on structure learning of Bayesian Networks with emphasis on finding causal relationship☆9Updated 6 years ago
- Curated list of resources for various topics, articles, tutorials, etc I've found useful.☆19Updated 2 years ago
- Hypothesis and statistical testing in Python☆64Updated 4 years ago
- ☆14Updated 4 years ago
- ICDSS Machine Learning Workshop Series: Linear Models☆19Updated 5 years ago
- Datasets associated with pyprobml☆20Updated last year
- ☆13Updated 5 years ago
- Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"☆13Updated 5 years ago
- This repo will be an effort to learn and implement some of the milestone papers and models in Deep Learning based language models.☆11Updated 2 years ago
- Repository for the code assignment of the Deep Learning 1 course, Fall 2021 edition☆10Updated 2 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Modern Industrial Statistics: with applications in Python, 3rd edition☆9Updated 6 months ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and ANOVA, Correlation and Regression analysis, Data standardisation and F…☆11Updated 7 years ago
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆73Updated 6 years ago
- Duke University - Cousera☆11Updated 8 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- Python 3.7 version of David Barber's MATLAB BRMLtoolbox☆24Updated 6 years ago
- ☆11Updated 2 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago
- A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network sync…☆13Updated 9 months ago
- The 2020 Version of the Deep Learning Course☆8Updated 5 years ago
- Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology☆32Updated 3 months ago
- I took Math for Intelligent System COT5615 in fall 2018 offered by University of Florida. In this repo I am sharing the assignments, lect…☆17Updated 6 years ago
- [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…☆11Updated 2 years ago