Data Cleaning after Identifying Data Problems in Pandas

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Data Cleaning after Identifying Data Problems in Pandas

Рет қаралды 902

Күн бұрын

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.
Previous video of the course: • Data Exploration: Iden...
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00:00 Shallow copy vs Deep Copy
04:13 Correcting data types

Пікірлер: 2

@abdullahhanif4541 Ай бұрын

i find your tutorials very easy and understandable however i have one simple question. can you please explain how statistics is important in data science like how it is useful in anyway possible. can you please make a video on it and explain it using dataset

@ajithdevadiga9939 4 ай бұрын

Regarding the Payment_type attribute As mentioned in the the data dictionary the payment code options are A numeric code signifying how the passenger paid for the trip. 1= Credit card 2= Cash 3= No charge 4= Dispute 5= Unknown 6= Voided trip but the data in the paraquet files have payment codes as [1, 2, 0, 4, 3 ] (even seen in the the old files now updated to paraquet format) could not understand what the payment code 0 refers to ? I am doing analysis for yellow_taxi_jan_2024 (january 2024) data could observe that after payement_type 1 (credit card ) and 2 (cash) could see high ocurrence of payment_type 0 (around 140K) is this something to think about or the relevant meta data is not updated in the website ? if anyone is working on this data kindly share your thoughts regarding this matter, would appreciate a response thanks :-)