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Sanjeev Singh
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Express Delivery
Secure Transactions
EcoโConscious Packaging
Binding
Paperback
Number of Pages
256
Age Group
All
Language
English
Book Summary
This Is A Non-Fiction, Data-Driven Account Of Election Forecasting, Exploring How Modern Tools And Social Signals Can Hint At Electoral Outcomes Before Ballots Are Counted. It Chronicles The Collaboration Between A Journalist And A Data Scientist As They Build A Predictive Model, Detailing The Journey From A Bold Idea To A Tested Approach And The Moments Of Insight Along The Way. Designed For Curious ReadersโVoters, Data Enthusiasts, And Anyone Interested In Political AnalyticsโThe Tone Is Educational, Accessible, And Quietly Adventurous.
Presented As A Story-Led Exploration, It Blends Approachable Data-Science Explanations With A Clear Narrative. Readers Follow The Data Gathering, Feature Engineering, Model Building, And Validation Steps, Including How Social Signals From Platforms Like X (Formerly Twitter) Inform The Predictions, All Described In Everyday Language. The Approach Is Distinctive For Its Transparent MethodologyโSharing Data Sources, Rationale, And ChecksโSo Learning Feels Concrete, Practical, And Accessible For Readers New To Predictive Analytics.
After Finishing, Readers Gain A Grounded Understanding Of How Data Can Illuminate Political Processes, Enhanced Curiosity About How Information Travels Online, And A Nuanced Appreciation For The Opportunities And Limits Of Predicting Elections In Real Time.
Product Details
Author
Sanjeev Singh
Publisher
Bloomsbury
Number of Pages
256
Language
English
SKU
BK0486564
ISBN
9789356406254
Reading Age
All
Dimensions
20.3 x 25.4 x 4.7 cm
Binding
Paperback
MRP: โน 599
โน 480
โน 119 Off