Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
Here are the links you need for the course.👇
📙 Course Notion page where you can find the questions and assignments: fishy-dessert-...
👩‍💻 Course repository: github.com/mis...
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
Sometimes, only the raw datetime of an event might not be enough for the ML algorithm to understand your usecase. In those scenarios, it is a good idea to give the ML model more information to work with. This could be the week of day, whether a day is a holiday or not or simply the time of the day. Let's see how to add this information to our dataframe.
👋 Keep in touch?
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🐥 Twitter - / misraturp
🔗 LinkedIn - / misraturp
📹 KZfaq - / @misraturp
🌎 Website - misraturp.com/
Courses & resources
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📙 Fundamentals of Deep Learning in 25 pages
misraturp.gumr...
📥 Streamlit template
misraturp.gumr...
🤖 Deep Learning 101 with Python and Keras (FREE)
• 50 Days of Deep Learning
🏃‍♀️ Data Science Kick-starter mini-course (FREE)
misraturp.gumr...
🐼 Pandas cheat sheet (FREE)
misraturp.gumr...
📝 NNs hyperparameters cheat sheet (FREE)
misraturp.gumr...