You're struggling with limited time for model tuning. How do you prioritize feature selection effectively?
In the fast-paced world of data science, time is often a scarce resource, especially when it comes to model tuning. You may find yourself racing against the clock to enhance your predictive model's performance. The key to success lies in effective feature selection, which can dramatically impact your model's accuracy and efficiency. Understanding how to prioritize which features to include in your model can save you precious time and computational resources while still delivering robust results.
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Manjeet SinghSr Director, AI Platform @Salesforce | Fittest Product Exec | Top Voice in AI | B2B SaaS Advisor | Ex VP IRM…
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Semal JohariAI Intern @ Stillsweb | LinkedIn Top Data Science Voice | AI/ML Enthusiast | Microsoft Certified: Azure Data Scientist…
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Mona Zhu, PhDCognitive Scientist | Data Scientist | Strategic Consultant