Discover and read the best of Twitter Threads about #xgboost
Most recents (6)
I continue to be impressed by the ease of doing machine learning with Pycaret.
This is especially great for #R people that want to learn #Python.
Let me explain...
#DataScience #Rstats
This is especially great for #R people that want to learn #Python.
Let me explain...
#DataScience #Rstats
As many of you know, my primary data science toolkit is #R. ❤️
I've been doing data science in production at @bizScienc and developing open-source R software for over 10 years.
- Modeltime (+4 ecosystem pkgs)
- Timetk
- Tidyquant
- CorrelationFunnel
I've been doing data science in production at @bizScienc and developing open-source R software for over 10 years.
- Modeltime (+4 ecosystem pkgs)
- Timetk
- Tidyquant
- CorrelationFunnel
But, I interact with team members and interface with clients...
and their language of choice is often Python.
It's refreshing that I can quickly switch to Python when needed, and not need to write 5000 lines of #ScikitLearn code to do basic machine learning.
and their language of choice is often Python.
It's refreshing that I can quickly switch to Python when needed, and not need to write 5000 lines of #ScikitLearn code to do basic machine learning.
BREAKING NEWS: #ChatGPT Breaks #Python VS #R Barriers For #DataScience Teams Everywhere...
And Data Scientists everywhere are in shock.
Here's the LIVE story as it's unfolding.🧵
#rstats #pydata
And Data Scientists everywhere are in shock.
Here's the LIVE story as it's unfolding.🧵
#rstats #pydata
It's NOT #R VS #Python ANYMORE!
Let me explain with an example that was MIND BLOWING to me.
Here's the background:
Let me explain with an example that was MIND BLOWING to me.
Here's the background:
I'm an R guy.
I use R for research.
It's quick to make analysis.
And now I'm super good with it.
I use R for research.
It's quick to make analysis.
And now I'm super good with it.
Connaissez-vous #pyCaret ?
Si ce n'est pas le cas, je vous conseille vivement d'y jeter un oeil
Cette bibliothèque vous permet de tester facilement les performances des principaux algorithmes de Machine Learning
illustration >
Si ce n'est pas le cas, je vous conseille vivement d'y jeter un oeil
Cette bibliothèque vous permet de tester facilement les performances des principaux algorithmes de Machine Learning
illustration >
Test sur la classification du dataset IRIS
on obtient ces résultats :
1. Salut les copains
Aujourd'hui on va parler d'un modèle tellement important dans le Machine Learning - Les arbres binaires !
On va voir comment ils sont construits et on va voir également une interprétation géométrique
#datascience #ia #MachineLearning
Aujourd'hui on va parler d'un modèle tellement important dans le Machine Learning - Les arbres binaires !
On va voir comment ils sont construits et on va voir également une interprétation géométrique
#datascience #ia #MachineLearning
2. Pour commencer, les arbres binaires sont vieux comme le Machine Learning
C'est un type de modèle qui a constamment évolué, et qui est à la base de modèles phare du moment
Comme les #RandomForest, les #GradientBoosting comme #AdaBoost, #CatBoost, #XGBoost, ...
C'est un type de modèle qui a constamment évolué, et qui est à la base de modèles phare du moment
Comme les #RandomForest, les #GradientBoosting comme #AdaBoost, #CatBoost, #XGBoost, ...
3. Promis, on verra chacun de ces modèles dans le détail dans des messages dédiés
Kaggle Notebooks: Hidden Gems - Vol. 31
A weekly series aspiring to showcase underrated Kaggle Notebooks along with the diversity and creativity of our community.
Check it out on @Kaggle:
kaggle.com/general/202145
#KaggleHiddenGems
A weekly series aspiring to showcase underrated Kaggle Notebooks along with the diversity and creativity of our community.
Check it out on @Kaggle:
kaggle.com/general/202145
#KaggleHiddenGems
"Adversarial Rainforest" by @tunguz:
A compact work providing adversarial validation of the rainforest competition data together with interpretable Shapely values via GPU-powered #XGBoost in the @RAPIDSai framework.
kaggle.com/tunguz/adversa…
A compact work providing adversarial validation of the rainforest competition data together with interpretable Shapely values via GPU-powered #XGBoost in the @RAPIDSai framework.
kaggle.com/tunguz/adversa…
"EDA Google SunRoof w/ Beautiful Choropleths & Maps" by Bukun:
This exploratory analysis presents a variety of visualisations, including maps, to describe and characterise a #geospatial solar panel dataset.
kaggle.com/ambarish/eda-g…
This exploratory analysis presents a variety of visualisations, including maps, to describe and characterise a #geospatial solar panel dataset.
kaggle.com/ambarish/eda-g…
Jensen Huang, @nvidia CEO just kicked off #GTC2020 with a keynote that covered several groundbreaking announcements and partnerships. The future of #AI and #Nvidia is incredibly exciting. Here's a thread of the (many) key takeaways. Let's get started!🧵👇
The main focus this time was on #AI & high performance computing in the data center & on the edge. This #GTC2020 Nvidia is releasing 80 new and updated SDKs. CUDA, Nvidia's toolkit for GPU powered applications, has been downloaded 20M times, 6M in 2020 alone.
#Omniverse, Nvidia's platform for simulation & collaboration is now in open beta. Using Omniverse teams can simultaneously work in Blender, Maya, Unreal etc and view the results rendered in real time in a common interface.
