IPython Notebook packaged for Heroku, with data analysis libraries and persistent storage via pgcontents
-
Updated
Mar 29, 2016 - Python
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
IPython Notebook packaged for Heroku, with data analysis libraries and persistent storage via pgcontents
Analyse Los Angeles Crime rate between 2012 - 2016 using python pandas, numpy and matplot libraries
use ipython notebook to analyze data in dat archive
Collection of Data Analysis notebooks
iPython notebook shows a small investigation regarding effect of a volume correction on error in final deliverables
This is a collection of the Ipython notebooks made for various machine learning and data science problems and challenges.
Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Jupyter Notebooks for the Python Data Science Handbook
Machine learning Jupyter notebooks. https://charlesreid1.github.io/circe
repo for notebooks and other tools used in analyzing UITFs in the Philippines
data analysis and visualization of the 2017 Polyglot Vancouver Unconference
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Jupyter Notebook Technology Exploration by Analyzing data from AURIN OpenAPI
Gallery of Apache Zeppelin notebooks using Enth-Spark-AI.
A Jupyter Notebook for analysing the most popular repositories on GitHub and deriving meaningful conclusions out of them
Jupyter notebook exploring the Open Exoplanet Catalogue.
Notebook for sensor calibration evaluation