fmfn / data-science-ipython-notebooksLinks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
☆12Updated 9 years ago
Alternatives and similar repositories for data-science-ipython-notebooks
Users that are interested in data-science-ipython-notebooks are comparing it to the libraries listed below
Sorting:
- Tutorial on interpreting and understanding machine learning models☆69Updated 7 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- demos for PyBay talk: Using Randomness to make code faster☆51Updated 8 years ago
- python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.☆126Updated 5 years ago
- 3-day dive into deep learning at csc☆25Updated 8 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- Bayesian statistics seminars☆29Updated 8 years ago
- Repo for the ML_Insights python package☆153Updated 9 months ago
- bayesian bootstrapping in python☆123Updated 3 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 6 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- Short introduction to Bayesian statistical modelling with PyMC3☆18Updated 6 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- Pandas integration with sklearn☆21Updated 9 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- Introductory overview of Bayesian inference☆43Updated 6 years ago
- Slides and materials for most of my talks by year☆93Updated 2 years ago
- Advanced Scikit-learn training session☆119Updated 9 years ago
- Tutorial material and instruction for scipy 2018 jupyterlab tutorial☆73Updated 5 months ago
- A helper library for data science pipeline☆36Updated 6 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆189Updated 7 years ago
- A stacked generalization framework. Built on top of scikit learn☆58Updated 3 years ago
- Doing Bayesian statistics in Python!☆68Updated 8 years ago
- NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…☆31Updated 7 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆126Updated 7 months ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 6 years ago
- A Little Book of Python for Multivariate Analysis☆87Updated 9 years ago
- Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text…☆18Updated 8 years ago