Multiple Linear Regression using python ( Regression Analysis )
Вставка
- Опубліковано 5 вер 2024
- @MLwithme1617 Multi Linear Regression with python | Machine Learning Lectures | what is feature engineering? how to do feature selection ?
Topics covered:
TIMESTAMPS
01:45 Data Collection
02:17 Exploratory Data Analysis (EDA)
06:40 Distribution of data
08:27 Feature Engineering
10:20 Feature selection
03:59 Model Building and evaluation
data : www.kaggle.com...
code : github.com/mle...
Twitter: / mlwithme1617
Instagram: ...
Install python : www.python.org/
Intall Jupyter Notebooks: jupyter.org/in...
Learn Python Basics : www.w3schools....
statistics, regression, probability, t statistics,z scores
#machinelearning #datascience #linearregression #simplelinearregression #multilinearregression #python #pythonprogramming #MSE #meansquarederror #sklearn #pandas #regression #regressionanalysis #chatgpt #basics #beginner
Hi Sir, for the region can we use get_dummies instead of the ordinal way(0,1,2,3)? Thank you.
Region is actually considered as nominal because regions don’t really have any ranks. But using get dummies we have chances to end-up with multicollinearity. Instead i converted them to 0,1,2,3. You can try using dummies and check the correlation matrix to see if there is any multicollinearity.
@@MLwithme1617 thanks Sir, I will try it. Thanks for the video, it is great!
@@MLwithme1617 I think we can use dummies method and remove any one column that will work right?
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Hi Sir, can you do a video tutorial on how can you improve the r2 score? Thank you
How do we calculate Mean Square Error (MSE) for this. after all the calculation?
Use MSE from sklearn, or for better understanding the math you can have a look at my explanation video on MSE.