Kaggle's 30 Days Of ML (Day-10): Underfitting, Overfitting & Random Forests

preview_player
Показать описание
This video is a walkthrough of Kaggle's #30DaysOfML. In this video, we learn #Underfitting, #Overfitting and we will also apply #RandomForest on house price prediction dataset!

Note: this video is not sponsored by #Kaggle!

Please subscribe and like the video to help me keep motivated to make awesome videos like this one. :)

Follow me on:
Рекомендации по теме
Комментарии
Автор

I hope we will learn all ML topics just listening and practising the code along with him ❤️❤️❤️ and in 30 days ✌️

vengalrao
Автор

Amazing tutorial, I hope you will produce a playlist to cover the basics of NLP + BERT with code application. Many thanks

halibrahim
Автор

Thanks for making such greats videos.... 🙏

wingsoftechnology
Автор

Great Informative session. Need to know how to master control flow functions in Python.

aviralsingh
Автор

Congratulations Abhishek Thakur, great job you're doing here. Are you also going to solve the ML challenge we will get after the first 15 introductory days?

MrLycantree
Автор

Congratulations @abhishekkrthakur on your 100K Subscribers 🚀. I have learned a lot just by coding along with you in 30-Days of ML.

Magsidun
Автор

Sir did you teach that course which kaggle is teaching or something else.

RajSingh-yfwj
Автор

what does max_leaf_nodes = max_leaf_nodes mean?

isaacyn
Автор

While running my code y it shows "IndentationError : unexpected indent

basharatmir
Автор

Where to find certificate of this Kaggle course ?

manishranjan