Step-by-Step Preparing and Training a Machine Learning Model
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- Опубліковано 23 гру 2024
- 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.
👋 Keep in touch?
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🐥 Twitter - / misraturp
🔗 LinkedIn - / misraturp
📹 UA-cam - / @misraturp
🌎 Website - misraturp.com/
Courses & resources
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📙 Fundamentals of Deep Learning in 25 pages
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📥 Streamlit template
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🤖 Deep Learning 101 with Python and Keras (FREE)
• 50 Days of Deep Learning
🏃♀️ Data Science Kick-starter mini-course (FREE)
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🐼 Pandas cheat sheet (FREE)
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📝 NNs hyperparameters cheat sheet (FREE)
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Hello dear Misra, two questions this time! :)
One is the source of the weather dataset and the other is "how did you create the table in 7.4. Comparing algorithm performances section?"
Thanks in advance!
why are we doing one hot encoding for all the columns in stead of just categorical columns?
This is brilliant 👏
Cool bro
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