Customer Segmentation the usage of Unsupervised Machine Learning in Python
Customer segmentation is the process of dividing clients into businesses primarily based on shared traits which include demographics, behavior, or preferences. Unsupervised device gaining knowledge of algorithms like K-approach clustering or hierarchical clustering may be employed for this challenge in Python. By segmenting clients, companies can tailor their advertising techniques, product offerings, and patron reports to better meet the desires of every group. This can lead to extended client satisfaction, loyalty, and ultimately, better sales. This project covers the entire process , starting from importing necessary libraries like Pandas, Numpy, Matplotlib/Seaborn and sklearn to import and preprocess the dataset. It emphasizes datacleaning, handling null values and features engineering to prepare data for modelling. It not only demonstrates the technical steps involved in customer segmentation but also highlights the practical benefits of applying machine learning to understand and serve customers better.
Here are reference link of the project – Customer Segmentation using Unsupervised Machine Learning in Python
10 Machine Learning Projects in Retail
In the modern-day dynamic retail landscape, maintaining a competitive edge goes beyond offering top-notch products and services. Retail businesses must harness the power of advanced technologies to decode consumer behavior. Machine Learning emerges as a game changer in the context that provides retailers with the ability to glean valuable insights from the vast data pools. In this article, we will explore various Machine Learning Projects in Retail and also highlight ing How this innovative technology is revolutionizing retail strategies and enhancing customer experience.
Table of Content
- What is Machine Learning in Retail?
- 10 Machine Learning Projects in Retail
- 1. Sales Forecast Prediction
- 2. Customer Segmentation the usage of Unsupervised Machine Learning in Python
- 3. Analyzing selling rate of used motors the use of Python
- 4. Box Office Revenue Prediction Using Linear Regression in ML
- 5. Flipkart Reviews Sentiment Analysis the usage of Python
- 6. Loan Approval Prediction the use of Machine Learning
- 7. Loan Eligibility prediction the use of Machine Learning Models in Python
- 8. House Price Prediction the use of Machine Learning in Python
- 9. ML | Boston Housing Kaggle Challenge with Linear Regression
- 10. Supply Chain Optimization
- Conclusion