DataHackIL / DataLearn-ML-Intro-2019Links
The repository of the hands-on introduction to machine learning workshop of the DataLearn 2019 track at DataHack 2019.
☆10Updated 5 years ago
Alternatives and similar repositories for DataLearn-ML-Intro-2019
Users that are interested in DataLearn-ML-Intro-2019 are comparing it to the libraries listed below
Sorting:
- DataHack Challenges - Challenges offered during our hackathon by top data companies.☆12Updated 5 years ago
- Work for Mastering Large Datasets with Python☆19Updated 2 years ago
- STatistical Inference Relief☆11Updated 6 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 3 years ago
- In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…☆44Updated 7 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Miscellaneous repository for code content related to my Medium posts.☆8Updated 4 years ago
- Using the function read.table() to break file into chunks to loop and process them. This allows processing files of any size beyond what …☆10Updated 10 years ago
- ☆37Updated last month
- Social Media Analysis for Situation Awareness during Crises (SMASAC) Tutorial☆25Updated 7 years ago
- Notebook implementing techniques discussed in my blog post about imbalanced data.☆14Updated 7 years ago
- A selection of business datasets☆18Updated 5 years ago
- Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications☆52Updated 4 years ago
- This code is to demonstrate the use of esquisse to generate ggplot2 with drag and drop☆9Updated 6 years ago
- Text Mining Illustration with Bank of England minutes data☆9Updated 2 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- Interpretable, intuitive outlier detector intended for categorical and numeric data.☆10Updated last year
- Practical ideas on securing machine learning models☆36Updated 4 years ago
- The documentation and scripts for the Local News Dataset☆25Updated 3 years ago
- Writing Primer for Data Scientists☆18Updated 5 years ago
- PETRARCH actor, agent and verb dictionaries☆22Updated 6 years ago
- Intermediate Python for Data Science Workshop☆24Updated 10 months ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- ☆16Updated 5 years ago
- Introduction to Topic Modeling for TextXD 2019, 12/3/2019☆10Updated 5 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- ☆32Updated last year
- Teaching material and other info associated with the Information Extraction using Topic Models tutorial at SciPy US 2018.☆19Updated 6 years ago
- Predict how many medals a country will win at the Olympics based on past performance using automated feature engineering☆34Updated 4 years ago
- R scripts and data for replicating (and, with some modification, updating) statistical assessments of risks of state-led mass-killing ons…☆14Updated 9 years ago