Python Interview Questions For Data Science
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1:14:52
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1 - Introduction.mp4
07:00
1 - code.zip
2 - Auto.csv
2 - Setting up Colab.mp4
04:15
3 - Setting up working Environment.mp4
03:05
1 - What is the python command to drop the missing values.html
2 - If A has a correlation of 04 with B How would the relationship be directed.html
4 - Categorical variables and how to include them into model.mp4
06:27
4 - Categorical-Variables.pdf
5 - Missing values and how to handle them.mp4
11:08
6 - What is a Correlation Matrixs role.mp4
05:12
7 - How to check relationship between variables.mp4
02:07
8 - Supervised vs Unsupervised Learning Parametric vs nonparametric Models.mp4
08:42
9 - How to interpret the regression analysis.mp4
09:35
10 - How to improve the regression model results with logarithmic transformation.mp4
08:40
11 - How to use polynomial model in Python.mp4
06:09
12 - Comparing the results of models.mp4
02:32
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Udemy
View courses UdemyStudents take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
- language english
- Training sessions 12
- duration 1:14:52
- Release Date 2023/09/10
![Master Regression & Prediction with Pandas and Python [2024]](https://traininghub.ir/image/course_pic/38374-x225.webp)
