DATA PREPROCESSING | Machine Learning Practices | Session - 5
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- Опубліковано 27 лип 2024
- DATA PREPROCESSING | Machine Learning Practices | Session - 5
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In this session, we've covered:-
- Data Preprocessing
- Handling Missing Values
- Mean, Median, Mode, Constant
- Column Transformer
- OrdinalEncoder
- OneHotEncoder
Kaggle notebook 🔼 (Make sure to upvote it):
www.kaggle.com/param302/mlp-s...
Titanic Competition:
www.kaggle.com/competitions/t...
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I usually take them twice a week - Wednesday & Sunday, at 6 pm.
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Chapters:
00:00 Overview & Setup
03:24 Importing Required Libraries
03:50 Loading data
04:27 Exploratory Data Analysis (EDA)
07:43 Data Preprocessing
08:22 Visualizing Outliers
12:09 Handling Missing Values (explanation)
20:45 Splitting Data - Train, Valid & Test set
32:48 Handling Missing Values (code)
50:00 Transforming Categorical Columns
53:12 Ordinal Encoder (explanation)
54:06 One Hot Encoder (explanation)
55:58 Label Encoder (explanation)
56:48 Selecting Columns for Encoders
01:00:34 Ordinal Encoder (code)
01:10:37 One Hot Encoding (code)
01:32:50 Handling Null Values - after Encoding
01:37:19 Creating ML Models
01:39:55 Model Evaluation
01:48:00 Predicting on Test data
01:48:37 Submitting Predictions
01:51:00 [Imp] Ways to Submit Predictions
01:54:54 Conclusion
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Hey, thank you so much for these videos. just a request if you can refine the audio quality as well. the content btw is amazing.
Hi, audio quality is improved from session 6
Thank you for your efforts 👏🏻🙏🏻
Welcome 😁
Have you uploaded full ML playlist?
I am taking and uploading 2 sessions every week.
would you please provide link for youtube videos for preparation of MLP oppe -1 and oppe - 2
Hey, I will soon take sessions on OPPE 1 and OPPE 2 and share the videos in the channel.
Make sure to subscribe, also you can join the sessions' calendar.