Unsupervised Learning - Kmeans Week 11 Challenge

Project1.xlxs

#import librariesimport pandas as pdimport numpy as np#from sklearn import datasetsimport matplotlib.pyplot as pltimport seaborn as snsfrom sklearn.cluster import KMeans

import pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport seaborn as sns

1.What is a Neural Network?->Neural Network models the relationship between a set of input signals and an output signal using a model derived from our understanding of how a biological brain responds to stimuli from sensory inputs just as a brain uses a network of interconnected cells called neurons to create a massive…

1.How does similarity is calculated if data is categorical in nature?->The simplest way to find similarity between two categorical attributes is to assign a similarity of 1 if the values are identical and a similarity of 0 if the values are not identical.

2.What are the pros and cons of knn? ->Advantages: 1.No training period,knn is called lazy learner.There is no training dataset and learns from it only at the time of making real time prediction. 2.KNN is very easy to implement:KNN is very easy to implement as the only thing to be calculated is the distance between…

1.Pros and cons of SVM ->Advantages: 1.It has a high level of accuracy. 2.It works very weell with limited datasets. 3.Kernel SVM contains a non-linear transformation function to convert the complicated non-linearly separable data into linearly separable data 4.It is effective on datasets that have multiple features.…

import numpy as npdef gradient_descent(x,y): #values of m and b m_curr = b_curr = 0 #Initializing number of steps iterations=1000 #Number of data points(n) n=len(x) #Learning rate learning_rate = 0.001 for i in range(iterations): y_p = m_curr * x + b_curr cost= (1/n) * sum([val**2 for val in (y - y_p)]) md = -(2/n) * sum(x…

2)What is the significance of expected value when simple mean (Sum of all observations/number of observations) is already in place?->1.The expected value used to find average for random variable and simple mean find the average for given sample. 2.significance of expected value called as predicted average outcome for…

#importing libarariesimport pandas as pdimport matplotlib.pyplot as pltimport seaborn as sns

1.Why there is a difference in the formula of variance for population and sample?-> Population variance Sample variance 1.σ2=∑(xi−μ)2/N 1. s2=∑(xi−¯x)2./(n-1) where N is the size of the population The xi tends to be closer to consisting of x1,x2,…xN and μμ is the their…

use

#importing librariesimport pandas as pdimport numpy as npdata=pd.read_csv('AXISBANK.csv')

#1Create new schema as ecommercecreate database ecommerces;use ecommerces; #3 Run SQL command to see the structure of tableselect * from users_data;desc users_data; #4 Run SQL command to select first 100 rows of the databaseselect * from users_data limit 100; #5 How many distinct values exist in table for field country…

import jsonfrom difflib import get_close_matches data = json.load(open("dictionary.json")) def meaning(w): #data = json.load(open("dictionary.json")) w = w.lower() if w in data: return data[w] elif len(get_close_matches(w, data.keys())) > 0: return data[get_close_matches(w, data.keys())[0]] else: return "The word doesn't…