Exploring deep learning on Cooley
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Updated
Dec 1, 2017 - 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.
Exploring deep learning on Cooley
Convert Rmd (rmarkdown) to ipynb (Jupyter notebook)
Beginning with NLP
This is a collection of sample iPhyton Notebooks, these can be used with Google Cloud Datalab
Performing Eda and trying different Models to predict Species of Flower in Iris Dataset
100 Days of ML Coding 繁中ipynb 自學
A simple tutorial of wavelet, STFT and FFT
Where and how to use decorators in python.
CS302 Modelling and Simulation Weekly Assignments in python based on modelling different systems - SARS, Malaria, SIR
Python BootCamp
NBA players individual performance perdictions using Neural Networks. Comparison between LSTM and Feed Forward Architectures. Created by Meitar Bach, Mai Elenberg and Lior Ben-Ami
Bayesian Classifier for filtering the spam messages implemented in Python.
Jupyter Notebook for KNN Algorithm.
Training a classifier to differentiate between positive and negative movie review sentences in the "sentence polarity dataset v1.0"
Naive Bayes (From Scratch)
Python notebook collection about Data Science and Machine Learning. Data science course assignments from Sanberode Indonesia
Kaggle learn course tutorial and exercises notebook
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 12 days ago