Car Prices Insights P3

1. Project Objectives → The first objective is to classify the car prices data into segments or clusters using cross-validation. → The second objective is to classify the car prices data into segments or clusters using ensemble methods. → The third objective is to determine the appropriate classification model. → The fourth objective is to identify significant variables or features and their thresholds for classification.

Last edited  Apr 6, 2024 9:20 PM

Car Prices Trend Insights P3

1. Project Objectives → The first objective is to classify the car prices data into segments or clusters using cross-validation. → The second objective is to classify the car prices data into segments or clusters using ensemble methods. → The third objective is to determine the appropriate classification model. → The fourth objective is to identify significant variables or features and their thresholds for classification.

Last edited  Apr 6, 2024 9:15 PM

Car Sales Prices Trend Project 2

Customer Classification and Prediction (Car Prices) on the basis of Cluster data The objective is - 1.1 The first objective is to segment the consumer (loan) data of the bank using supervised learning algorithms using Decision tree. 1.2 The second objective is to determine the number of appropriate classification model by comparing and contrast using logistic regression, KNN (k-nearest neighbour) and SVM (support vector machine). 1.3 The third objective is to identify significant variables or features and their thresholds for classification.

Last edited  Mar 26, 2024 7:35 PM

Cars Sales Trend and Pricing Insights

Objective is to segment Consumer Data using Unsupervised Machine Learning Clustering Algorithms like K-Means clustering, find number of appropriate clusters using performance matrix Silhouette score and to determine the segment and Characteristics of each cluster (to sell the product/service)

Last edited  Mar 13, 2024 11:27 AM

Cars Sales Trend Insight

Objective is to segment Consumer Data using Unsupervised Machine Learning Clustering Algorithms like K-Means clustering, find number of appropriate clusters using performance matrix Silhouette score and to determine the segment and Characteristics of each cluster (to sell the product/service)

Last edited  Mar 13, 2024 11:26 AM

Cars Sales Trend Insights

Objective is to segment Consumer Data using Unsupervised Machine Learning Clustering Algorithms like K-Means clustering, find number of appropriate clusters using performance matrix Silhouette score and to determine the segment and Characteristics of each cluster (to sell the product/service)

Last edited  Mar 13, 2024 11:24 AM

Public

Last edited  Mar 13, 2024 11:01 AM