Python Meets UX: Enhancing User Experience with Code - Neeraj Pandey

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[Untitled]

• Data is crucial for UX
• AI quickly analyzes data
• Reveal UX patterns, understand behavior, and make decision
• Performs repetitive data tasks and responds to users
• UX desingers make accurate data-driven decisions quickly

Personalisation

• personalised user experiences
• behavioral data analysis
• predictive analytics
• real-time data targeting

Automating UX tasks

1. Performing task manually, time-consuming
2. Redcue time A/B testing

Case Study

PyShoes

For all Pythonistas

Urilizing Scikit-learn for User Segmentation

• Personalised Recommendations

User Segmentation using K-means clusters

Analyzing Customer Feedback with NLP

• Identification of Key Themes and Concerns
• Gaining Insights into Customer Preferences

Clickstream Analysis for Navigation Patterns

• Improved website navigation
• Increased user engagement

Data Mining in Offline Setting

1. Market Basket analysis
2. customer segmentation
3. optimizing store layout
4. inventory management

Automating repetitive tasks

• web scrape feedback

Below is the part that speaker updated the talk/tutorial after speech
講者於演講後有更新或勘誤投影片的部份