Prediction Salaries
Pro
Details
een the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but als
-
0.85Regression: R2= Coefficient of determination
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Shape (12345, 12) -
Verified
Data Source
een the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but als
Use Cases
een the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but als
External API Docs
Endpoints (2)
Title:
Endpoint #1 Predict Salary
Description:
Response
data scientist salary in US dollars
Base URL:
Requests:
Token:
every API have unique token. You'll get one once you activate the endpoint
Body parameters:
1
Code Examples:
Example responses
Enter next parameters to test endpoint response
Endpoint #1 Predict Salary
Description:
een the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but als
Response
data scientist salary in US dollars
Base URL:
https://dataendpoint.co/machine-learning-apis/prediction-salaries/post-api
# POST
/simple-salary/predict/<token>
every API have unique token. You'll get one once you activate the endpoint
Body parameters:
1
| Body parameter name | Body parameter type | Example | Requirement |
|---|---|---|---|
| years_of_experience | NUMBER | 3 | [Required] |
Code Examples:
const
axios = require('axios');
axios({
"method":
"POST",
"url":
"https://dataendpoint.co/machine-learning-apis/prediction-salaries/post-api/simple-salary/predict/<token>",
"data":
{
"years_of_experience":
3
}
"headers": {
"content-type":
"application/json"
}
}).then((response) => {
// handle sucess
console.log(response)
}).catch((error) => {
// handle error
console.log(error)
})
import
requests
url =
"https://dataendpoint.co/machine-learning-apis/prediction-salaries/post-api/simple-salary/predict/<token>"
data =
{
"years_of_experience":
3
}
headers = {
"content-type":
"application/json"
}
response =
requests.request("POST", url, data=data, headers=headers)
print
(response.text)
require
'httparty'
url =
"https://dataendpoint.co/machine-learning-apis/prediction-salaries/post-api/simple-salary/predict/<token>",
data =
{
"years_of_experience" =>
3
}
response =
HTTParty.post(url,
body: data.to_json,
headers: { "Content-Type" => "application/json" })
puts
response.parsed_response
<?php
$curl =
curl_init();
$url =
"https://dataendpoint.co/machine-learning-apis/prediction-salaries/post-api/simple-salary/predict/<token>";
curl_setopt_array($curl, array(
CURLOPT_URL => $url,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => "
{
"years_of_experience":
3
}
",
CURLOPT_HTTPHEADER => array(
"Content-Type: application/json"
),
));
$response =
curl_exec($curl);
curl_close($curl);
echo
$response;
Enter next parameters to test endpoint response
Enter parameters
Title:
Endpoint #2 Predict Salary
Description:
Response
coefficients and interceptions of all data points
Base URL:
Requests:
Token:
every API have unique token. You'll get one once you activate the endpoint
Example responses
Press button to test this endpoint response
Code Examples:
Endpoint #2 Predict Salary
Description:
een the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but als
Response
coefficients and interceptions of all data points
Base URL:
https://dataendpoint.co/machine-learning-apis/prediction-salaries/get-api
# GET
/simple-salary/current-details/<token>
every API have unique token. You'll get one once you activate the endpoint
Press button to test this endpoint response
Code Examples:
const
axios = require('axios');
axios({
"method":
"GET",
"url":
"https://dataendpoint.co/machine-learning-apis/prediction-salaries/get-api/simple-salary/current-details/<token>",
"headers": {
"content-type":
"application/json"
}
}).then((response) => {
// handle sucess
console.log(response)
}).catch((error) => {
// handle error
console.log(error)
})
import
requests
url =
"https://dataendpoint.co/machine-learning-apis/prediction-salaries/get-api/simple-salary/current-details/<token>"
headers = {
"content-type":
"application/json"
}
response =
requests.request("GET", url, headers=headers)
print
(response.text)
require
'httparty'
url =
"https://dataendpoint.co/machine-learning-apis/prediction-salaries/get-api/simple-salary/current-details/<token>",
response =
HTTParty.get(url,
headers: { "Content-Type" => "application/json" })
puts
response.parsed_response
<?php
$curl =
curl_init();
$url =
"https://dataendpoint.co/machine-learning-apis/prediction-salaries/get-api/simple-salary/current-details/<token>";
curl_setopt_array($curl, array(
CURLOPT_URL => $url,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => array(
"Content-Type: application/json"
),
));
$response =
curl_exec($curl);
curl_close($curl);
echo
$response;
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een the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but als
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een the industry's standard dummy text ever since the 1500s
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