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Titanic Solution: A Beginner's Guide

Using data from Titanic: Machine Learning from Disaster

www.kaggle.com

How to score 0.8134 in Titanic Kaggle Challenge

The Titanic challenge on Kaggle is a competition in which the task is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat. I have been playing wit

ahmedbesbes.com

Finding Important Factors To Survive Titanic

Using data from Titanic: Machine Learning from Disaster

www.kaggle.com

anaconda (python 3 version)도커로 설치하고 사용하기 - SLiPP 스터디 - SLiPP::위키

들어가기 딥러닝 스터디를 위한 책의 코드를 돌려보기 위해서 필요한 파이썬 + 라이브러리는 다음과 같습니다. python 3 numpymatplotlib 아나콘다(anaconda)를 설치하면 보통 앞에서 언급한 라이브러리들이 모두 포함되어 있습니다.  간편하게 docker로 아나콘다를 실행해볼 수 있는 환경을 마련하는 방법을 소개합니다. (너무 쉽지만 개발환경 세팅으로 소중한 스터디 시간을 낭비하는 것을 막기 위해서) anaconda 도커 이미지 검색 일단

www.slipp.net

Tensorflow :: Anaconda Cloud

anaconda.org

aymericdamien/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) - aymericdamien/TensorFlow-Examples

github.com

Quickstart tutorial — NumPy v1.16 Manual

NumPy provides familiar mathematical functions such as sin, cos, and exp. In NumPy, these are called “universal functions”(ufunc). Within NumPy, these functions operate elementwise on an array, producing an array as output. See also all, any, apply_along_a

docs.scipy.org

Project Jupyter

The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

jupyter.org

10 Minutes to pandas — pandas 0.24.2 documentation

10 Minutes to pandas This is a short introduction to pandas, geared mainly for new users. You can see more complex recipes in the Cookbook. Customarily, we import as follows: In [1]: import numpy as np In [2]: import pandas as pd Object Creation See the Da

pandas.pydata.org

The IPython API — IPython 7.5.0 documentation

Important This documentation covers IPython versions 6.0 and higher. Beginning with version 6.0, IPython stopped supporting compatibility with Python versions lower than 3.3 including all versions of Python 2.7. If you are looking for an IPython version co

ipython.readthedocs.io

KeyError: 'allow_remote_access' in jupyter notebook in one environment

I can run jupyter notebook without activating environment. Also I can run in under environment py35 I made. But when I try to run it under py36, it fails with Traceback (most recent call last): ...

stackoverflow.com

Notebook Examples — Jupyter Notebook 5.7.8 documentation

© Copyright 2015, Jupyter Team, https://jupyter.org Revision b8e30ea8.

jupyter-notebook.readthedocs.io

Motivating Examples — Jupyter Notebook 5.7.8 documentation

Display \(\begin{align} \nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\ \nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\ \nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\par

jupyter-notebook.readthedocs.io

TensorFlow 시작하기

TensorFlow 시작하기. GitHub Gist: instantly share code, notes, and snippets.

gist.github.com

머신러닝을 배우고 사용하기  |  TensorFlow Core  |  TensorFlow

이 문서들은 텐서플로 커뮤니티에서 번역했습니다. 커뮤니티 번역 활동의 특성상 정확한 번역과 최신 내용을 반영하기 위해 노력함에도 불구하고 공식 영문 문서의 내용과 일치하지 않을 수 있습니다. 이 번역에 개선할 부분이 있다면 tensorflow/docs 깃헙 저장소로 풀 리퀘스트를 보내주시기 바랍니다. 문서 번역이나 리뷰에 참여하려면 docs@tensorflow.org로 메일을 보내주시기 바랍니다. 이 노트북 파일들은 Deep Learning with Py

www.tensorflow.org