Uploaded April 2024 | Updated September 2026, 7 hours ago
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.π
π Course Notion page where you can find the questions and assignments: https://fishy-dessert-4fc.notion.site/Hands-on-Data-Science-course-66ca15a1cd7140298d60fa3d13575d06?pvs=4
π©βπ» Course repository: github.com/misraturp/Guided-project-course-material
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.
π Keep in touch?
==========================
π₯ Twitter - twitter.com/misraturp
π LinkedIn - linkedin.com/in/misraturp
πΉ YouTube - youtube.com/@misraturp
π Website - misraturp.com
Courses & resources
============================
π Fundamentals of Deep Learning in 25 pages
misraturp.gumroad.com/l/fdl
π€ Deep Learning 101 with Python and Keras (FREE)
youtube.com/playlist?list=PLM8lYG2MzHmQn55ii0duXdO9QSoDF5myF
πββοΈ Data Science Kick-starter mini-course (FREE)
misraturp.gumroad.com/l/kick-starter
πΌ Pandas cheat sheet (FREE)
misraturp.gumroad.com/l/pandascs
π NNs hyperparameters cheat sheet (FREE)
misraturp.gumroad.com/l/hcs
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.π
π Course Notion page where you can find the questions and assignments: https://fishy-dessert-4fc.notion.site/Hands-on-Data-Science-course-66ca15a1cd7140298d60fa3d13575d06?pvs=4
π©βπ» Course repository: github.com/misraturp/Guided-project-course-material
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.
π Keep in touch?
==========================
π₯ Twitter - twitter.com/misraturp
π LinkedIn - linkedin.com/in/misraturp
πΉ YouTube - youtube.com/@misraturp
π Website - misraturp.com
Courses & resources
============================
π Fundamentals of Deep Learning in 25 pages
misraturp.gumroad.com/l/fdl
π€ Deep Learning 101 with Python and Keras (FREE)
youtube.com/playlist?list=PLM8lYG2MzHmQn55ii0duXdO9QSoDF5myF
πββοΈ Data Science Kick-starter mini-course (FREE)
misraturp.gumroad.com/l/kick-starter
πΌ Pandas cheat sheet (FREE)
misraturp.gumroad.com/l/pandascs
π NNs hyperparameters cheat sheet (FREE)
misraturp.gumroad.com/l/hcs
