zfit-tutorials
Data Analysis Tutorials
An interactive tutorial project providing hands-on guidance on using the zfit library in data analysis and modeling.
Interactive zfit tutorials
11 stars
6 watching
3 forks
Language: Jupyter Notebook
last commit: 3 months ago fittingheplikelihoodtensorflowzfit
Related projects:
| Repository | Description | Stars |
|---|---|---|
 belse-de/zig-tut | A collection of tutorials and projects to learn the Zig programming language | 18 |
 britefury/deep-learning-tutorial-pydata | A tutorial project providing guidance on building and training deep learning models using PyData | 85 |
 nsidc/nsidc-data-tutorials | Provides interactive tutorials and code resources for accessing and working with NSIDC DAAC data | 82 |
 ujjwalkarn/datasciencepython | A curated list of tutorials and resources for learning Python for data science, machine learning, and other related topics. | 5,301 |
 jadianes/data-science-your-way | An introduction to data science concepts and applications in R and Python using hands-on tutorials | 597 |
 yannael/bigdataanalytics_infoh515 | A collection of Jupyter notebooks teaching Big Data Analytics with Spark and machine learning concepts | 59 |
 zighelp/zighelp | A comprehensive resource for learning and using the Zig programming language. | 38 |
 drskippy/data-science-45min-intros | A repository of interactive tutorials and walk-throughs for learning data science and machine learning concepts through programming | 1,582 |
 dfreniche/modern-core-data-playground | An introduction to Core Data using a Swift Playground project that tests and demonstrates its usage | 35 |
 fielddb/startr | A tutorial project demonstrating data analysis in R using sample lexical decision task data and scripts to guide the process. | 0 |
 bravit/hid-examples | A collection of Haskell code examples to accompany a book on functional programming and depth of language | 258 |
 nborwankar/learndatascience | A collection of data science learning materials in the form of IPython Notebooks covering various techniques such as regression, classification, and clustering. | 2,964 |
 rasbt/python_reference | A comprehensive resource for learning and improving Python skills | 3,765 |
 clab/dynet_tutorial_examples | Tutorials on implementing neural networks in NLP using the DyNet toolkit | 433 |
 codingtrain/machine-learning | A collection of resources and examples around machine learning for education and development | 954 |