Struggling to navigate the complex world of machine learning algorithms? In this video, we've got you covered! Discover the fundamental pillars of machine learning as we demystify classification, regression, and clustering algorithms. Plus, stay tuned for expert insights on how to seamlessly select the perfect algorithm for your unique data challenges. Get ready to conquer your algorithmic dilemmas and elevate your machine learning game!
Subscribe now to stay updated and never miss out on valuable tips and tutorials!
______________________________________________________________________
👉 Subscribe to my channel: https://bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
👉 Playlist for data science interview tips: https://bit.ly/2G5hNoJ
👉 Playlist for data science projects: https://bit.ly/StrataScratchProjectsY...
👉 Practice more real data science interview questions: https://platform.stratascratch.com/co...
______________________________________________________________________
Timeline:
Machine learning models overview: (0:00)
Classification algorithm: (1:05)
Regression algorithm: (2:48)
Clustering algorithm: (3:34)
How to choose the right algorithm: (4:15)
Conclusion (5:43)
______________________________________________________________________
About The Platform:
StrataScratch (https://platform.stratascratch.com/co...) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit https://platform.stratascratch.com/co.... All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.
______________________________________________________________________
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email us at [email protected]
______________________________________________________________________
#machinelearning #machinelearningalgorithm #machinelearningwithpython #datascience #python