Uploaded December 2023 | Updated September 2026, 2 days ago
Ever wondered what a day in the life of a senior data scientist looks like? Join Nate, a seasoned data scientist, as he navigates the challenges of his daily routine in a big tech company. From mundane meetings to unraveling complex data puzzles, Nate's journey sheds light on the realities of the data science world. Watch to discover the balancing act between coding, problem-solving, and the crucial prep work that consumes most of his time.
Are you a budding data scientist? Nate's experiences might resonate with you! Subscribe for more insights into the world of data science and visit stratascratch.com for valuable resources.
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👉 Subscribe to the channel: bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81
👉 Playlist for data science interview tips: bit.ly/2G5hNoJ
👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+scientist+actually+code
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About The Platform:
StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+scientist+actually+code) 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 platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+scientist+actually+code. 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.
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Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email us at team@stratascratch.com
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#datascientist #datascience #datascientistlife #datascientistday #datasciencecareer #dataanalysis #techindustry #datascienceforbeginners
Ever wondered what a day in the life of a senior data scientist looks like? Join Nate, a seasoned data scientist, as he navigates the challenges of his daily routine in a big tech company. From mundane meetings to unraveling complex data puzzles, Nate's journey sheds light on the realities of the data science world. Watch to discover the balancing act between coding, problem-solving, and the crucial prep work that consumes most of his time.
Are you a budding data scientist? Nate's experiences might resonate with you! Subscribe for more insights into the world of data science and visit stratascratch.com for valuable resources.
______________________________________________________________________
👉 Subscribe to the channel: bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81
👉 Playlist for data science interview tips: bit.ly/2G5hNoJ
👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+scientist+actually+code
______________________________________________________________________
About The Platform:
StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+scientist+actually+code) 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 platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+scientist+actually+code. 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 team@stratascratch.com
______________________________________________________________________
#datascientist #datascience #datascientistlife #datascientistday #datasciencecareer #dataanalysis #techindustry #datascienceforbeginners
![Classical Machine Learning [DoorDash Data Science Project]](https://i.ytimg.com/vi/pqQG_tNXncc/mqdefault.jpg "Classical Machine Learning [DoorDash Data Science Project]
In this video, well be diving deep into machine learning for data science. Well explore some of the most important concepts in machine learning and choose the best-performed model. Well demonstrate how to apply these concepts in practice on the DoorDash data science project Delivery Duration Prediction. Well apply 6 different algorithms, 4 different feature set sizes, and 3 different scalers.
Watch our previous video:
📌 Part 1: Data Preparation for Modeling: https://youtu.be/Sf6jn8QZHhc
📌 Part 2: Collinearity and Removing Redundancies: https://youtu.be/m3zEV10qvE8
📌 Part 3: Multicollinearity and Feature Selection: https://youtu.be/gh5JzALBQvU
🧑💻 Go to the project through the link below and follow along with me: https://platform.stratascratch.com/data-projects/delivery-duration-prediction?utm_source=youtube&utm_medium=click&utm_campaign=YT+classical+ML+doordash+project
👉 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
👉 Practice more real data science interview questions: https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+classical+ML+doordash+project
Timeline:
Intro: (0:00)
Take-home assignment from DoorDash: (0:23 )
In previous videos: (0:40)
Applying the data to the machine learning model: (1:14)
Applying regression tasks: (2:03)
Changing the problem: (5:17)
Extracting the Prep_duration predictions (7:20)
Deep Learning Method: (10:31)
Conclusion: (12:44)
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+classical+ML+doordash+project), 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/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+classical+ML+doordash+project. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, 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 me at nathan@stratascratch.com
#StrataScratch #DoordashDataProject #MachineLearning")
