How I solve new data science problems from scratch.
WARNING: There *is no* one single "right" data science process that you can follow to solve a new problem from scratch. With that said, it's also important to know how the different pieces of the data science lifecycle fit together. So in this session, Jeremie explains his thought process as he tackles new data science problems from the ground up, including how much time he spends on each step. Jeremie goes over: 1. Why you *must* constrain your problem before you start; 2. How to think about feature engineering and data exploration; 3. How much time to spend on hyperparameter tuning; 4. What to do if your model doesn't end up working. To learn more, go to sharpestminds.com Follow us on Twitter: https://twitter.com/SharpestMindsAI Follow us on LinkedIn: https://ca.linkedin.com/company/sharpestminds For job searching tips, check out our blog: https://www.sharpestminds.com/blog
WARNING: There *is no* one single "right" data science process that you can follow to solve a new problem from scratch. With that said, it's also important to know how the different pieces of the data science lifecycle fit together. So in this session, Jeremie explains his thought process as he tackles new data science problems from the ground up, including how much time he spends on each step. Jeremie goes over: 1. Why you *must* constrain your problem before you start; 2. How to think about feature engineering and data exploration; 3. How much time to spend on hyperparameter tuning; 4. What to do if your model doesn't end up working. To learn more, go to sharpestminds.com Follow us on Twitter: https://twitter.com/SharpestMindsAI Follow us on LinkedIn: https://ca.linkedin.com/company/sharpestminds For job searching tips, check out our blog: https://www.sharpestminds.com/blog