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Anupama Yeragudipati
updated on 03 Dec 2022
e)
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Project 2
First KMeans (Initial Run) Objective: To apply KMeans clustering on the car dataset (likely based on features like fuel type, city mpg, highway mpg, etc.), without much prior tuning or pre-processing. Steps: Standard KMeans clustering applied using default parameters (e.g., random initialization, fixed number of clusters).…
28 Apr 2025 12:48 PM IST
Project 1
???? Automobile Dataset (1985) Analysis – Project Report ???? Objective The purpose of this project is to perform data cleaning, exploratory data analysis (EDA), and basic machine learning modeling on the 1985 Automobile dataset. This analysis aims to uncover insights into vehicle fuel efficiency, engine performance, and trends…
09 Apr 2025 06:25 PM IST
Unsupervised Learning - Kmeans Week 11 Challenge
How does similarity is calculated if data is categorical in nature1. Hamming Distance Used when categorical variables are binary (0/1, Yes/No, True/False). It calculates the number of positions at which two strings of equal length are different. Formula: d(x,y)=∑i=1nI(xi≠yi)d(x, y) = \sum_{i=1}^{n} I(x_i \neq y_i)d(x,y)=i=1∑nI(xi=yi)…
06 Apr 2025 05:16 PM IST
Supervised Learning - Classification Week 9 Challenge
1. What is a Neural Network?A Neural Network is a computational model inspired by the human brain. It consists of layers of artificial neurons that process input data to make predictions or classifications. It is commonly used in machine learning for tasks like image recognition, speech processing, and pattern detection.…
24 Mar 2025 04:10 PM IST
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