What are different terminologies in Data science скачать в хорошем качестве

What are different terminologies in Data science

New to Data Science? This video is your perfect starting point! We break down the most important terminologies used in the field of data science, helping you build a strong foundation and speak the language of data like a pro. 📌 What You’ll Learn: What is Data Science and why it matters Key terms like Data Wrangling, EDA, Model Training, Overfitting, and more 🧠 Differences between Supervised and Unsupervised Learning Common tools and techniques used by data scientists 🛠️ Real-world examples to help you understand each concept clearly 🌍 Whether you're a student, aspiring data scientist, or just curious about the field, this video will help you get comfortable with the core vocabulary of data science. 👉 Don’t forget to like, subscribe, and turn on notifications for more beginner-friendly tech content! #DataScience #Terminologies #MachineLearning #AI #TechExplained #DataAnalytics #LearnDataScience Join this channel to get access to perks:    / @fsethi   #techlead , #google #fabric #datascience #dataanalyst #gcp #bigquery Check out my website https://FSethi.com and LinkedIn  / fsethi   🎥 MY YOUTUBE GEAR • Computer - https://www.amazon.com/Microsoft-Surf... • My Camera - https://www.amazon.com/Microphone-DEP... • Main Microphone - https://amzn.to/3t1n1aK • Azure Cognitive Services Speech Studio - Voice Farhana SethiNeural https://speech.microsoft.com/portal • Generative AI https://openai.com/product/dall-e-2 • ChatGPT customized AI model • Adobe Premiere Pro | Video Editing and Production Software - https://www.amazon.com/Adobe-Premiere... • Main Tripod - https://amzn.to/3pSUeDh Teleprompter - https://amzn.to/3hWGT8p