Project 1A:   English Dictionary App   import jsonfilename='word.txt'dict1={}def add():        w=input('enter word : ')       m=input('enter mean : ')      dict1[w]=m      with open(filename,'w') as f:           json.dump(dict1,f)     print('word is added : ')     main() def find():    w=input('enter word : ')    with…

  project 2: EDA on Vehicle Insurance Customer Data   # Step1 Reading dataimport pandas as pdfirst_table=pd.read_csv('.pandascustomer_details.csv')import pandas as pdsecond_table=pd.read_csv('.pandascustomer_policy_details.csv')print(first_table.head())print(second_table.head())   # giving column names…

project1 Business model Customer to Customer (C2C) allows customers to do business with each other. This model is growing fast with e-commerce platforms where sellers may be required to pay some amount and buyer can buy it without paying anything. E-Commerce website brings the seller and buyer to the same platform. …

Once a student is passed out from a Institute or College, he/she is known as Alumni of the Institute. Alumni’s career growth plays important role in Institute’s ranking and other networking activities. In this project, career choices of alumni of two Universities will be analyzed with respect to their passing…

Project1

1..... Why there is a difference in the formula of variance for population and sample Population variance refers to the value of variance that is calculated from population data, and sample variance is the variance calculated from sample data. Due to this value of denominator in the formula for variance in case of sample…

1)Calculate all 4 business moments using pen and paper for the below data set?             2)What is the significance of expected value when simple mean (Sum of all observations/number of observations) is already in place Expected value is used when we want to calculate the mean of a probability…

project2

.2............Difference between L1 & L2 Gradient descent method L1 regularization penalizes the sum of absolute values of the weights, whereas L2 regularization penalizes the sum of squares of the weights. …

  2......What are the pros and cons of knn ----------------------------------------------------------------- K- Nearest Neighbors or also known as K-NN belong to the family of supervised machine learning algorithms which means we use labeled (Target Variable) dataset to predict the class of new data point. The K-NN…

1...........Pros and cons of SVM ----------------------------------------------------- Pros and Cons associated with SVM Pros: It works really well with a clear margin of separation It is effective in high dimensional spaces. It is effective in cases where the number of dimensions is greater than the number of samples.…

  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…

1..........What is a Neural Network? ----------------------------------------------- A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process, called deep learning, that uses interconnected…

project1

Implement Clustering and then predict the class of car from “Car dataset”.  

project1 tableau

Project2 Tableau