Mr.Shah ShahStavan

## 22bce539_practical_6.ipynb

      
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                ShahStavan
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              September 29, 2023 19:25
            
              
                22bce539_Practical_6.ipynb
              
          
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## 22bce539_practical_5.ipynb

      
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                22bce539_Practical_5.ipynb
              
          
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## 22bce539_practical_4.ipynb

      
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              September 29, 2023 19:23
            
              
                Linear Regression with Regularization (without using sklearn or equivalent library) and Simple and Multiple Linear Regression with and without regularization using Sklearn
              
          
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## PaperTrading.html
<!DOCTYPE html>
<html lang="en">
    <head>
        <meta charset="utf-8">
        <meta name="viewport" content="width=device-width, initial-scale=1.0, shrink-to-fit=no">
        <title>Blog Post - Brand</title>
        <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-1BmE4kWBq78iYhFldvKuhfTAU6auU8tT94WrHftjDbrCEXSU1oBoqyl2QvZ6jIW3" crossorigin="anonymous">
        <link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Inter&amp;display=swap">
        <link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Raleway&amp;display=swap">
        <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">

## index.html
<div class="container" id="animation">
  <h1 id="headline">ZENZZEN Under Maintenance</h1>
  <div id="countdown">
    <ul>
      <li><span id="days"></span>days</li>
      <li><span id="hours"></span>Hours</li>
      <li><span id="minutes"></span>Minutes</li>
      <li><span id="seconds"></span>Seconds</li>
    </ul>
  </div>

## OPENCV2.py
# First you need to install opencv
# $ pip install opencv-python
import cv2

cap = cv2.VideoCapture(0) # Here 0 says that capture the video from default web cam. Basically it's called id.

while True:
    ret , frame = cap.read() #Here ret is a boolean value
    # gray_scale = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    # Try the command above the line to convert video into grayscale

## StockPricePrediction.py
# First install libraries of Python
# ---Libraries--- : numpy , matplotlib , pandas , pandas_datareader , tensorflow , scikit-learn
# Import files in our Code
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pandas.core.algorithms import mode
import pandas_datareader as web
import datetime as dt

## GeoLocation.html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Know Your Geolocation</title>
</head>
<body>
    <h1>Geolocation</h1>

## Logic.txt
Let's see Logic behind the code🤘

We have declared four variables ..
curr = Current element
first = Will be largest number
second = Will be second max number
i = So that we can break the while loop

while(i==1)
-> It checks whether i is 1 or not.

## Logic of Recursion.txt
In First case what happens main function gets the input from user and pass it as Parameter to function called factorial

Let's assume n = 4

int factorial(int n)
{
    cout<<n<<endl; // Here we display n
    if(n==0){      // if n becomes 0 we return 1
        return 1;
    }
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0, shrink-to-fit=no">
	<title>Blog Post - Brand</title>
	<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-1BmE4kWBq78iYhFldvKuhfTAU6auU8tT94WrHftjDbrCEXSU1oBoqyl2QvZ6jIW3" crossorigin="anonymous">
	<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Inter&display=swap">
	<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Raleway&display=swap">
	<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
	<div class="container" id="animation">
	<h1 id="headline">ZENZZEN Under Maintenance</h1>
	<div id="countdown">
	<ul>
	<li><span id="days"></span>days</li>
	<li><span id="hours"></span>Hours</li>
	<li><span id="minutes"></span>Minutes</li>
	<li><span id="seconds"></span>Seconds</li>
	</ul>
	</div>
	# First you need to install opencv
	# $ pip install opencv-python
	import cv2

	cap = cv2.VideoCapture(0) # Here 0 says that capture the video from default web cam. Basically it's called id.

	while True:
	ret , frame = cap.read() #Here ret is a boolean value
	# gray_scale = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
	# Try the command above the line to convert video into grayscale
	# First install libraries of Python
	# ---Libraries--- : numpy , matplotlib , pandas , pandas_datareader , tensorflow , scikit-learn
	# Import files in our Code
	import numpy as np
	import matplotlib.pyplot as plt
	import pandas as pd
	from pandas.core.algorithms import mode
	import pandas_datareader as web
	import datetime as dt
	Let's see Logic behind the code🤘

	We have declared four variables ..
	curr = Current element
	first = Will be largest number
	second = Will be second max number
	i = So that we can break the while loop

	while(i==1)
	-> It checks whether i is 1 or not.
	In First case what happens main function gets the input from user and pass it as Parameter to function called factorial

	Let's assume n = 4

	int factorial(int n)
	{
	cout<<n<<endl; // Here we display n
	if(n==0){ // if n becomes 0 we return 1
	return 1;
	}