That's great! I like everything about this series. Specially, the way you have cleaned the data to make it more meaningful and used Excel functions. Appreciate your efforts! Now I am eagerly waiting to see the python model for this project.
@@sfzehsan3509 Glad you liked this series. Thank you for the feedback. The next video will be released tomorrow at 10am. I am working on another 20 videos in this series which will cover concepts like Decision Trees, Random Forest, Feature Selection, Grid Search, Ensemble Modelling. Please do watch out for this space. Your feedback fueled my intensity to keep making more of this series. Thank You :)
In kaggle there is train and test dataset separtely given . where in test data there is no output variable then how did i calculate the test accuracy
can the test, validation, and training be done with excel? can you make a video for that?
Yes -> ruclips.net/video/9uhlKIMMRBw/видео.html
When will the next video be uploaded?
By this weekend :) Thank you for watching this series. What did you like about this series?
That's great!
I like everything about this series. Specially, the way you have cleaned the data to make it more meaningful and used Excel functions. Appreciate your efforts!
Now I am eagerly waiting to see the python model for this project.
@@sfzehsan3509 Glad you liked this series. Thank you for the feedback. The next video will be released tomorrow at 10am. I am working on another 20 videos in this series which will cover concepts like Decision Trees, Random Forest, Feature Selection, Grid Search, Ensemble Modelling. Please do watch out for this space.
Your feedback fueled my intensity to keep making more of this series. Thank You :)
In kaggle there is train and test dataset separtely given . where in test data there is no output variable then how did i calculate the test accuracy