This commit is contained in:
christalib 2019-09-29 12:39:38 +02:00
parent d4f9b36f47
commit ac7886ba5e
19 changed files with 23549 additions and 4 deletions

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{
"python.pythonPath": "/usr/bin/python3"
}

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# SECTION 2
* you need to split the training set and a test set to balance the machine learning (you train on the test set and test those assumptions on the test set)
? what is categorical data, why whould you use it?
? what is categorical data, why whould you use it?
* feature scaling: put all values on the same scale so the larger number do not destroy other numbers => standardisation ou normalisation

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# Data preprocessing
import pandas as pd
from sklearn.model_selection import train_test_split
# Importing the dataset
dataset = pd.read_csv('Data.csv')
X = dataset.iloc[:, :-1].values
y = dataset.iloc[:, 3].values
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.2, random_state=0)
# feature scaling
# sc_X = StandardScaler()
# X_train = sc_X.fit_transform(X_train)
# X_test = sc_X.fit_transform(X_test)

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# ! c is a vector
dataset$Country = factor(dataset$Country, levels=c('France', 'Spain', 'Germany'), labels=c(1, 2, 3))
dataset$Purchased= factor(dataset$Purchased, levels=c('No', 'Yes'), labels=c(0, 1))
dataset$Purchased= factor(dataset$Purchased, levels=c('No', 'Yes'), labels=c(0, 1))

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# Data preprocessing
from sklearn.preprocessing import Imputer, LabelEncoder, OneHotEncoder
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import Imputer, LabelEncoder, OneHotEncoder
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
@ -30,3 +31,14 @@ onehotencoder = OneHotEncoder()
X = onehotencoder.fit_transform(X).toarray()
labelencoder_y = LabelEncoder()
y = labelencoder_y.fit_transform(y)
# splitting into a training and a test set
# test_size is the amount of data that we are going to send in the test set
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.2, random_state=0)
# feature scaling
sc_X = StandardScaler()
X_train = sc_X.fit_transform(X_train)
X_test = sc_X.fit_transform(X_test)

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npm-debug.log*
yarn-debug.log*
yarn-error.log*
.vscode
.vscode/

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This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).
## Available Scripts
In the project directory, you can run:
### `npm start`
Runs the app in the development mode.<br>
Open [http://localhost:3000](http://localhost:3000) to view it in the browser.
The page will reload if you make edits.<br>
You will also see any lint errors in the console.
### `npm test`
Launches the test runner in the interactive watch mode.<br>
See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.
### `npm run build`
Builds the app for production to the `build` folder.<br>
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.<br>
Your app is ready to be deployed!
See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.
### `npm run eject`
**Note: this is a one-way operation. Once you `eject`, you cant go back!**
If you arent satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (Webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point youre on your own.
You dont have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldnt feel obligated to use this feature. However we understand that this tool wouldnt be useful if you couldnt customize it when you are ready for it.
## Learn More
You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started).
To learn React, check out the [React documentation](https://reactjs.org/).
### Code Splitting
This section has moved here: https://facebook.github.io/create-react-app/docs/code-splitting
### Analyzing the Bundle Size
This section has moved here: https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size
### Making a Progressive Web App
This section has moved here: https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app
### Advanced Configuration
This section has moved here: https://facebook.github.io/create-react-app/docs/advanced-configuration
### Deployment
This section has moved here: https://facebook.github.io/create-react-app/docs/deployment
### `npm run build` fails to minify
This section has moved here: https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify

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{
"name": "pics",
"version": "0.1.0",
"private": true,
"dependencies": {
"axios": "^0.19.0",
"eslint-plugin-import": "^2.18.2",
"react": "^16.9.0",
"react-dom": "^16.9.0",
"react-scripts": "3.1.1"
},
"scripts": {
"start": "react-scripts start",
"build": "react-scripts build",
"test": "react-scripts test",
"eject": "react-scripts eject"
},
"eslintConfig": {
"extends": "react-app"
},
"browserslist": {
"production": [
">0.2%",
"not dead",
"not op_mini all"
],
"development": [
"last 1 chrome version",
"last 1 firefox version",
"last 1 safari version"
]
},
"devDependencies": {
"eslint": "^6.3.0",
"eslint-config-google": "^0.14.0",
"eslint-plugin-react": "^7.14.3"
}
}

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<link rel="shortcut icon" href="%PUBLIC_URL%/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="theme-color" content="#000000" />
<meta name="description" content="Web site created using create-react-app" />
<link rel="apple-touch-icon" href="logo192.png" />
<!--
manifest.json provides metadata used when your web app is installed on a
user's mobile device or desktop. See https://developers.google.com/web/fundamentals/web-app-manifest/
-->
<link rel="manifest" href="%PUBLIC_URL%/manifest.json" />
<!--
Notice the use of %PUBLIC_URL% in the tags above.
It will be replaced with the URL of the `public` folder during the build.
Only files inside the `public` folder can be referenced from the HTML.
Unlike "/favicon.ico" or "favicon.ico", "%PUBLIC_URL%/favicon.ico" will
work correctly both with client-side routing and a non-root public URL.
Learn how to configure a non-root public URL by running `npm run build`.
-->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/semantic-ui/2.4.1/semantic.min.css" />
<title>React App</title>
</head>
<body>
<noscript>You need to enable JavaScript to run this app.</noscript>
<div id="root"></div>
<!--
This HTML file is a template.
If you open it directly in the browser, you will see an empty page.
You can add webfonts, meta tags, or analytics to this file.
The build step will place the bundled scripts into the <body> tag.
To begin the development, run `npm start` or `yarn start`.
To create a production bundle, use `npm run build` or `yarn build`.
-->
</body>
</html>

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{
"short_name": "React App",
"name": "Create React App Sample",
"icons": [
{
"src": "favicon.ico",
"sizes": "64x64 32x32 24x24 16x16",
"type": "image/x-icon"
},
{
"src": "logo192.png",
"type": "image/png",
"sizes": "192x192"
},
{
"src": "logo512.png",
"type": "image/png",
"sizes": "512x512"
}
],
"start_url": ".",
"display": "standalone",
"theme_color": "#000000",
"background_color": "#ffffff"
}

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# https://www.robotstxt.org/robotstxt.html
User-agent: *

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import React from 'react'
import SearchBar from './SearchBar'
import axios from 'axios'
class App extends React.Component {
async onSearchSubmit(term) {
const response = await axios.get("https://api.unsplash.com/search/photos", {
params: { query: term },
headers: {
Authorization: 'Client-ID b4d9ccd8113d1f68079b8eb43747bfe5e56705409be3ed9e1db0accbc3da35ce'
}
})
console.log(response.data.results)
}
render() {
return (
<div className="ui container" style={{ marginTop: "10px" }}>
<SearchBar onSubmit={this.onSearchSubmit} />
</div>
)
}
}
export default App;

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import React from 'react'
class SearchBar extends React.Component {
state = { term: '' }
// using an arrow function instead of just defining the function is a way
// to prenvent undefined type of errors
// it is possible to do this in the html tag
// onSubmit={(event) => this.onFormSubmit(event)}
onFormSubmit = (event) => {
// Prevent the browser to refresh automatically
event.preventDefault()
this.props.onSubmit(this.state.term)
}
render() {
return (
<div className="ui segment">
<form className="ui form" onSubmit={this.onFormSubmit}>
<div className="field">
<label htmlFor="">Image Search</label>
<input value={this.state.term} type="text" onChange={(e) => this.setState({ term: e.target.value })} />
</div>
</form>
</div>)
}
}
export default SearchBar

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import React from 'react';
import ReactDOM from 'react-dom';
import App from './components/App';
ReactDOM.render(
<App />,
document.querySelector('#root')
);

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