ChristopherGS / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
☆10Updated 9 years ago
Alternatives and similar repositories for Probabilistic-Programming-and-Bayesian-Methods-for-Hackers:
Users that are interested in Probabilistic-Programming-and-Bayesian-Methods-for-Hackers are comparing it to the libraries listed below
- Generic codes related to NLP☆84Updated 6 years ago
- Introduction and Career Guide for Data Science enthusiasts☆9Updated 6 years ago
- Codes used for the hack session in DHS 2019☆53Updated 5 years ago
- Club Mahindra DataOlympics 03-05-2019 - 05-05-2019☆21Updated 5 years ago
- Contains all tutorials and hands-on examples for the ODSC 2019 Workshop☆38Updated 5 years ago
- Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019☆82Updated 5 years ago
- ML pipeline and web app for classifying disaster response messages.☆10Updated 6 years ago
- Codes written for some competitions☆13Updated 8 years ago
- Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …☆30Updated 4 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 6 months ago
- Analytics Vidhya Hackathons and Others☆26Updated 4 years ago
- Contains solutions to AV competitions☆21Updated last year
- Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFa…☆27Updated 4 years ago
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆15Updated 8 years ago
- My presentation at ODSC India 2018 about Deep Learning with Apache Spark☆27Updated 6 years ago
- Content for Applied ML Workshop @ DataHack Summit 2019☆25Updated 5 years ago
- a python based module (bot) to generate kaggle baseline kernels☆26Updated 6 years ago
- Example Repo for the Udemy Course "Deployment of Machine Learning Models"☆20Updated 4 years ago
- This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview☆40Updated 6 years ago
- My competitions approach☆18Updated 3 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- Supplementary Material for Machine Learning for Time Series Analysis☆19Updated 7 years ago
- This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube☆49Updated 7 years ago
- Competition results for Box-plots for Education https://www.drivendata.org/competitions/4/☆25Updated last year
- ☆7Updated 5 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆149Updated 7 years ago
- A curated list of repositories for my book Machine Learning Solutions.☆78Updated 6 years ago
- Learning Machine Learning and showcasing my work for 100 Days.☆16Updated 6 years ago
- Repo will try to cover all the most frequently used ML algos with proper explanation and examples☆10Updated 5 years ago
- Code from Jason Brownlee's course on mastering machine learning☆123Updated 8 years ago