![]() But, your final model performance should always be based on TEST set! Train and fine-tune your model using train and valid set. ✅ The best practice is to have a TEST (aka Holdout) from the gecko. ❌ NEVER deem the best performance from the hyper-parameter tuning on the VALID set as the FINAL performance of your model. If you are doing this to win Kaggle, solve a take-home case in an interview, or deliver a model to your stakeholder then. Then, they report the valid set as the final model performance. They train and optimize the model parameters based on the train and valid set. Wait you are telling me your model's performance is 92% accurate based on a VALIDATION set? □ Then, you are probably wrong □ Welcome to SQL (video) | SQL basics | Khan Academy ![]() Meta DS.įollow me for more content on learning data science. Shameless plug here - I'm one of the co-creators, and collaborated on this with a Sr. ![]() The questions are similar to the ones asked in technical phone and onsite rounds. Looking for product-focused SQL practice questions? Definitely check out Daetama.io - an SQL practice pad with 100 FAANG-style SQL questions. SQLbolt contains 19 lessons with interactive exercises that are easy to follow. I used this book to first learn SQL as it covers advanced queries that were useful in creating data pipelines. If you want a detailed breakdown of SQL, then grab this book. It's free to join, and teaches you the basics concepts like JOINs, Aggregations and applications like data cleaning. Udacity has one of the best courses on SQL. As someone who used Khan Academy to learn various subjects like Calculus, I highly recommend this! Who doesn't love free courses? Thanks to Khan Academy, you can learn the basics of SQL following their beginner course. Here are five resources you should check out□ ![]() Looking to polish your SQL for interviewing or engineering work?⚡ ![]()
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