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Indhold leveret af Sominath Avhad. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Sominath Avhad eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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Did you know there’s an actual science to uncovering your hidden genius? It’s not about filling out a “dream job” worksheet—it’s about understanding how your brain is wired, identifying your natural aptitudes, and using them to thrive. This isn’t just a self-discovery exercise. It’s a game-changer for your career, your relationships, and how you show up in the world. Betsy Wills and Alex Ellison are redefining how we approach career discovery, proving that finding the right path isn’t just about landing a job—it’s about creating a life that aligns with who you actually are. ✅ Betsy Wills – Cofounder of YouScience, a groundbreaking psychometric assessment platform reshaping how we understand our talents. She’s also the Director of Marketing & Branding at Diversified Trust and a frequent lecturer at Vanderbilt University and NYU’s Stern School of Business. ✅ Alex Ellison – Founder of Throughline Guidance, a global college and career counseling practice. She’s a sought-after writer, speaker, and expert in college readiness and career development. ✅ Together, they co-authored Your Hidden Genius: The Science-Backed Strategy to Uncovering and Harnessing Your Innate Talents. Discovering your hidden genius isn’t just about career success—it’s about tapping into what makes you, you . Connect with Betsy & Alex: Website (Free Downloads): www.yourhiddengenius.com Book: https://www.harpercollins.com/products/your-hidden-genius-elizabeth-m-willsalexandra-ellison Related Podcast Episodes: How To Be You, But Better with Olga Khazan | 288 Finding Purpose Through Human Design with Emma Dunwoody | 228 195 / Finding (And Using) Your Voice with Amy Green Smith Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform! 🔗 Subscribe & Review: Apple Podcasts | Spotify | Amazon Music…
Indhold leveret af Sominath Avhad. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Sominath Avhad eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
16. What is the KNN imputation method ? KNN (K — Nearest Neighbors) is one of many (supervised learning) algorithms used in data mining and machine learning, it's a classifier algorithm where the learning is based “how similar” is a data (a vector) from other . The sample answer is… This method is used to impute the missing attribute values which are imputed by the attribute values that are most similar to the attribute whose values are missing. The similarity of the two attributes is determined by using the distance function.
Indhold leveret af Sominath Avhad. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Sominath Avhad eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
16. What is the KNN imputation method ? KNN (K — Nearest Neighbors) is one of many (supervised learning) algorithms used in data mining and machine learning, it's a classifier algorithm where the learning is based “how similar” is a data (a vector) from other . The sample answer is… This method is used to impute the missing attribute values which are imputed by the attribute values that are most similar to the attribute whose values are missing. The similarity of the two attributes is determined by using the distance function.
28. Mention the steps of a Data Analysis project. We discuss this question in question number 9. What are the various steps involved in any data analytics projects…today we will discuss more details. The core steps of a Data Analysis project include: · The foremost requirement of a Data Analysis project is an in-depth understanding of the business requirements. · The second step is to identify the most relevant data sources that best fit the business requirements and obtain the data from reliable and verified sources. · The third step involves exploring the datasets, cleaning the data, and organizing the same to gain a better understanding of the data at hand. · In the fourth step, Data Analysts must validate the data. · The fifth step involves implementing and tracking the datasets. · The final step is to create a list of the most probable outcomes and iterate until the desired results are accomplished. https://open.spotify.com/show/7nQzL21xSX2Qcjup1FbiYH https://open.spotify.com/show/7nQzL21xSX2Qcjup1FbiYH…
27. How should you tackle multi-source problems? To tackle multi-source problems, you need to: · Identify similar data records and combine them into one record that will contain all the useful attributes, minus the redundancy. · Facilitate schema integration through schema restructuring.
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