atyrachma

#from kaggle

# Colab library to upload files to notebook
from google.colab import files
# Install Kaggle library
!pip install -q kaggle
#update dulu
!pip install kaggle --upgrade 

# Upload kaggle API key file

atyrachma

import numpy as np
from sklearn import linear_model, metrics

class MarketingCosts:

    # param marketing_expenditure list. Expenditure for each previous campaign.
    # param units_sold list. The number of units sold for each previous campaign.
    # param desired_units_sold int. Target number of units to sell in the new campaign.
    # returns float. Required amount of money to be invested.
    @staticmethod

atyrachma

import pandas as pd
import numpy as np

class StockPrices:
    # param prices dict of string to list. A dictionary containing the tickers of the stocks, and each tickers daily prices.
    # returns list of strings. A list containing the tickers of the two most correlated stocks.
    @staticmethod
    def most_corr(prices):
        prices = pd.DataFrame.from_dict(prices)
        korel = prices.pct_change().corr()

atyrachma

SELECT name
FROM employees
WHERE (id NOT IN 
       (SELECT managerId 
        FROM employees 
        WHERE (managerId IS NOT NULL)));

atyrachma

SELECT COUNT(firstName)
FROM students
WHERE firstName = "John";

atyrachma

package com.example.atyrachma.iaktugas2;

import android.support.v7.app.AppCompatActivity;
import android.os.Bundle;
import android.view.View;
import android.widget.TextView;

import java.text.NumberFormat;

/**