Part - 1 (Most In-Demand Machine Learning Skills)

ML for Jobs: In this video, we look at practical machine learning that involves applying algorithms to real-world problems, such as forecasting and human activity detection. How algorithm selection is done, is vital as it entails picking the most suitable machine learning methods tailored to specific tasks and data characteristics. Feature engineering and model evaluation are equally critical, with feature engineering enhancing model performance by crafting meaningful features from data, and model evaluation ensuring model accuracy through metrics selection and robust cross-validation techniques.
Explore the world of data science and machine learning with practical insights geared towards software roles on my channel. I'm Sandeep Singh Sandha, with a bachelor's from IIT Roorkee and a master's and Ph.D. in computer science from UCLA. With hands-on experience at Oracle, IBM, Arm, Amazon, Teradata, and Abacus, I bring practical expertise to the table.
Join me on this channel to dive into crucial topics through working projects, as my goal is to share practical knowledge and make learning enjoyable. For more details about my work, visit: sites.google.c...

[@mandeepusakaur]

Very cool video. Looking forward to the next videos

[@MachineLearningSchool]

Thanks for watching!

[@gurdeepsingh-kn9ut]

Thanks for the initiative.

[@MachineLearningSchool]

Most welcome!

[@nesltime3738]

Congratulations 👏

[@MachineLearningSchool]

Thank you 🙌