Codistwa codistwa

## titanic.ipynb

      
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                codistwa
                / titanic.ipynb
            
            
              Created
              May 25, 2023 14:10
            
          
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## objects.js
// ============================================================
// Definition of an object / dictionary
// ============================================================

const fruits = {
  color: 'red',
  length: 3
}

// ============================================================

## fraud-detection.ipynb

      
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                codistwa
                / fraud-detection.ipynb
            
            
              Created
              December 21, 2022 16:02
            
              
                Machine Learning Project : Credit Card Fraud Detection
              
          
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## conditions.js
// ============================================================
// Comparison operators
// ============================================================

console.log(3 < 2); // false
console.log(1 == '1'); // true
console.log('Banana' === 'Banana'); // true
console.log('Banana' !== 'Apple'); // true
console.log('Banana' != 'Apple'); // true
console.log(2 <= 3); // true

## data-manipulation.sql
-- ============================================================
-- SELECT
-- ============================================================

SELECT *
FROM humanresources.employee;

SELECT jobtitle
FROM humanresources.employee;

## big-o.js
// ============================================================
// O(1) : constant complexity
// ============================================================

function constantO(num) {
  return num;
}

console.log(constantO(10)); // 10

## array.py
# ============================================================
# Definition of an array
# ============================================================

empty = []
print(empty)  # []

fruits = ['apple', 'lemon']
print(fruits)  # [ 'apple', 'lemon' ]

## functions.js
// ============================================================
// Without parameter
// ============================================================

function double () {
  console.log('Hello world')
}

console.log(double()) // Hello world

## functions-in-math.py
# ============================================================
# Definition of fonction
# ============================================================

def area(x):
    return 2 * x

print(area(4))

x = np.linspace(-6,6)

## linear-algebra.py
# ============================================================
# What is a vector?
# ============================================================

scalar = [3] # scalar
row = np.array([2,1], dtype=object) # row matrice / vector
col = np.array([ [3], [-1] ], dtype=object) # column matrice / vector

display(Math(sym.latex(sym.sympify(scalar))))
display(Math(sym.latex(sym.sympify(row))))
	// ============================================================
	// Definition of an object / dictionary
	// ============================================================

	const fruits = {
	color: 'red',
	length: 3
	}

	// ============================================================
	// ============================================================
	// Comparison operators
	// ============================================================

	console.log(3 < 2); // false
	console.log(1 == '1'); // true
	console.log('Banana' === 'Banana'); // true
	console.log('Banana' !== 'Apple'); // true
	console.log('Banana' != 'Apple'); // true
	console.log(2 <= 3); // true
	-- ============================================================
	-- SELECT
	-- ============================================================

	SELECT *
	FROM humanresources.employee;

	SELECT jobtitle
	FROM humanresources.employee;
	// ============================================================
	// O(1) : constant complexity
	// ============================================================

	function constantO(num) {
	return num;
	}

	console.log(constantO(10)); // 10
	# ============================================================
	# Definition of an array
	# ============================================================

	empty = []
	print(empty) # []

	fruits = ['apple', 'lemon']
	print(fruits) # [ 'apple', 'lemon' ]
	// ============================================================
	// Without parameter
	// ============================================================

	function double () {
	console.log('Hello world')
	}

	console.log(double()) // Hello world
	# ============================================================
	# Definition of fonction
	# ============================================================

	def area(x):
	return 2 * x

	print(area(4))

	x = np.linspace(-6,6)
	# ============================================================
	# What is a vector?
	# ============================================================

	scalar = [3] # scalar
	row = np.array([2,1], dtype=object) # row matrice / vector
	col = np.array([ [3], [-1] ], dtype=object) # column matrice / vector

	display(Math(sym.latex(sym.sympify(scalar))))
	display(Math(sym.latex(sym.sympify(row))))