adding gitignore and ml

This commit is contained in:
Christopher Talib 2019-07-08 09:20:31 +02:00
parent 78552cd92c
commit 60cb405145
4 changed files with 198 additions and 1 deletions

163
.gitignore vendored
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@ -1 +1,162 @@
notes\ cours\ python
# Created by https://www.gitignore.io/api/vim,python,visualstudiocode
# Edit at https://www.gitignore.io/?templates=vim,python,visualstudiocode
### Python ###
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytest_cache/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
.python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# celery beat schedule file
celerybeat-schedule
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
### Vim ###
# Swap
[._]*.s[a-v][a-z]
[._]*.sw[a-p]
[._]s[a-rt-v][a-z]
[._]ss[a-gi-z]
[._]sw[a-p]
# Session
Session.vim
Sessionx.vim
# Temporary
.netrwhist
*~
# Auto-generated tag files
tags
# Persistent undo
[._]*.un~
### VisualStudioCode ###
.vscode/*
!.vscode/settings.json
!.vscode/tasks.json
!.vscode/launch.json
!.vscode/extensions.json
### VisualStudioCode Patch ###
# Ignore all local history of files
.history
# End of https://www.gitignore.io/api/vim,python,visualstudiocode

11
ML/udemy/Data.csv Executable file
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@ -0,0 +1,11 @@
Country,Age,Salary,Purchased
France,44,72000,No
Spain,27,48000,Yes
Germany,30,54000,No
Spain,38,61000,No
Germany,40,,Yes
France,35,58000,Yes
Spain,,52000,No
France,48,79000,Yes
Germany,50,83000,No
France,37,67000,Yes
1 Country Age Salary Purchased
2 France 44 72000 No
3 Spain 27 48000 Yes
4 Germany 30 54000 No
5 Spain 38 61000 No
6 Germany 40 Yes
7 France 35 58000 Yes
8 Spain 52000 No
9 France 48 79000 Yes
10 Germany 50 83000 No
11 France 37 67000 Yes

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# Data preprocessing
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('Data.csv')
# Create the matrix of features (independant variables)
# [:, = lines -- all of them
# :-1] = colums -- all of them unless the last one
# X = (Country, Age, Salary)
X = dataset.iloc[:, :-1].values
# Create vector of linked variables
# [:, 3] = all values of the 3rd column
# Y = (Purchased)
X = dataset.iloc[:, 3].values
# Taking care of the missing data
from sklearn.model_selection import train_test_split
imputer = Imputer(missing_values = 'NaN', strategy = 'mean', axis = 0)

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@ -4,4 +4,8 @@ alphabet = string.ascii_lowercase
s = 'azcbobobegghakl'
count = 0
print(alphabet)
for i in s:
print i
print index(i)