Cross-platform tool that monitors time spent in different applications
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Updated
Jan 21, 2019 - Jupyter Notebook
The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Cross-platform tool that monitors time spent in different applications
Analysis of Titanic passengers dataset with Python
introductory analysis on a imdb dataset using pandas
All ML algo's implemented by me while learning
Simple script written to determine change in real estate sales prices over time from a comprehensive CSV file.
Analysis of Massive Open Online Course Platforms
The second project of the Udacity Machine Learning Nano Degree
Bible Classification Task
This contains the synchronization of integrate and fire neurons, assignments of Coursera courses - Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Train imagenet neuralnet with TensorFlow and Docker
Forcing ipython notebooks to display multiple equations in single line
A First look into Machine learning using TFIDF and Ipython-notebooks
Towards the development of 'thinking' computer systems.
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Portfolio accounting and analysis using Emacs Org-mode and Jupyter Notebooks.
A ipynb file that compares different regression modules in the sk.learnit library.
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 22 days ago