Image segmentation and object detection performance measures
-
Updated
Oct 4, 2024 - Python
Image segmentation and object detection performance measures
This repository consists of Segmentational Analysis on EV startup in INDIA which was assigned by Feynn Labs as a part of Machine Learning Internship. It was a group project.
Machine-learning-based segmentation of housing in Eau Claire, WI.
Through segmentation analysis, we aim to uncover meaningful patterns within this data to better understand and target different customer segments. This could involve using techniques such as clustering algorithms like k-means or hierarchical clustering to group customers with similar attributes together.
Analyzing a dataset to understand mental health factors, this project employs Python tools for preprocessing, exploration, segmentation, trend analysis, and modeling.
An analytical study on Netflix's decline in total subscribers, utilizing existing data and an online questionnaire to understand user preferences and segment audiences. Our analysis led to various recommendations and marketing strategies based on quantitative results and managerial usefulness.
Add a description, image, and links to the segmentation-analysis topic page so that developers can more easily learn about it.
To associate your repository with the segmentation-analysis topic, visit your repo's landing page and select "manage topics."