Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.
PythonOtherslowing
MachineLearning Misc Scripts / iPython Notebooks / Codebases
Search all MachineLearning projects →41 projectsPython › Misc Scripts / iPython Notebooks / Codebases
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Misc Scripts / iPython Notebooks / Codebases
Fundamentals of machine learning in python.
Jupyter NotebookApache License 2.0active
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Jupyter NotebookOthersteady
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Jupyter NotebookMIT Licensesteady
PythonBSD 3-Clause "New" or "Revised" Licenseactive
Notebooks and code for the book "Introduction to Machine Learning with Python"
Jupyter Notebookslowing
Recipes for using Python's pandas library.
Jupyter Notebookslowing
Jupyter NotebookGNU General Public License v3.0slowing
IPython notebooks from Data School's video tutorials on scikit-learn.
Jupyter Notebookslowing
An easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search.
PythonApache License 2.0steady
Code repository for Think Bayes.
TeXdormant
PythonOtherslowing
TensorDebugger (TDB) is a visual debugger for deep learning. It features interactive, node-by-node debugging and visualization for TensorFlow.
JavaScriptApache License 2.0dormant
LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms on GitHub, opens in a new tab
1.3KstarsCode for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
Jupyter NotebookMIT Licensedormant
Machine Learning for RC Cars.
PythonMIT Licensedormant
Jupyter Notebooksteady
Text and supporting code for Think OS: A Brief Introduction to Operating Systems.
TeXdormant
This repository contains Jupyter notebooks implementing the algorithms found in the book and summary of the textbook.
Jupyter NotebookMIT Licensesteady
Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
PythonOthersteady
Sentiment classifier using word sense disambiguation.
OpenEdge ABLOtherdormant
Kanji / Hiragana / Katakana to Romaji Converter. Edict Dictionary & parallel sentences Search. Sentence Similarity between two JP Sentences. Sentiment Analysis of Japanese Text. Run Cabocha(ISO--8859-1 configured) in Python.
OpenEdge ABLBSD 2-Clause "Simplified" Licensedormant
Series of notebooks for learning scikit-learn.
Pythondormant
Code for Allen Downey's book Think Complexity.
Jupyter Notebookslowing
Bayesian Inference Tools in Python.
HTMLdormant
A minimal, educational, Pythonic implementation of autograd (~100 loc).
Jupyter Notebookdormant
IPython notebooks for a complete course around understanding Nervana's Neon.
Jupyter NotebookApache License 2.0dormantarchived
A recommendation engine library for Python.
Pythondormant
Library for calculating great circle distance.
PHPMIT Licensedormant
Jupyter notebooks that cover how to implement from scratch different ML algorithms (ordinary least squares, gradient descent, k-means, alternating least squares), using Python NumPy, and how to then make these implementations scalable using Map/Reduce and Spark.
Jupyter Notebookdormant
Build tool for data science pipelines.
PythonOthersteady
Tweets Sentiment Analyzer
JavaScriptApache License 2.0dormant
Biologically-Inspired and Machine Learning Algorithms in Python. [Deprecated]
Pythondormant
Code for Data Science at Olin College, Spring 2014.
HTMLdormant
Convolutional autoencoders for 3D image/field compression applied to reduced order Data Assimilation.
PythonMIT Licensedormant
Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model.
Pythondormant
Pythondormant
IPython notebooks for EEG/MEG data processing using mne-python.
dormant
Pythondormant
A slightly larger, somewhat feature-complete, PyTorch-inspired, NumPy implementation of a tensor reverse-mode automatic differentiation engine.
Pythonactive
Given clinical parameters about a patient, can we predict whether or not they have heart disease?
Jupyter Notebookdormant
This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
Jupyter Notebookdormant
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