What Is Your Purpose of Visualizing Data?

Visualize data based on purpose

Detail

https://lnkd.in/fa95F8d

Alternative Reading
✅ Know Data Science
https://lnkd.in/fMHtxYP

✅ Understand How to answer Why
https://lnkd.in/f396Dqg

✅ Know Machine Learning Key Terminology
https://lnkd.in/fCihY9W

✅ Understand Machine Learning Implementation
https://lnkd.in/f5aUbBM

✅ Machine Learning on Retail
https://lnkd.in/fihPTJf

✅ Machine Learning on Marketing
https://lnkd.in/fUDGAQW

#datascience #visualization #machinelearning

✴️ @AI_Python_EN

Multivariate Data Visualization with python


9 Visualization that useful and doable to any tabular dataset

Try these 9 VisualizationCreated by :Rahul Agarwal

#machinelearning #artificialintelligence #datascience #ml #ai #deeplearning #python #visualization #visualisation

✴️ @AI_Python_EN

📚📖 Python Machine Learning Tutorial 📖📚

➡️ Python Machine Learning – Tasks and Applications ( https://lnkd.in/fZcs-xE)
➡️ Python Machine Learning Environment Setup – Installation Process (https://lnkd.in/fJHwbjr)
➡️ Data Preprocessing, Analysis & Visualization (https://lnkd.in/fVz58kJ)
➡️ Train and Test Set (https://lnkd.in/fq_GXjn)
➡️ Machine Learning Techniques with Python (https://lnkd.in/fjdsQzd)
➡️ Top Applications of Machine Learning (https://lnkd.in/f-CNyK2)
➡️ Machine Learning Algorithms in Python – You Must Learn (https://lnkd.in/fTxCA23)

#python #machinelearning #datascience #data #dataanalysis #artificialintelligence #ai #visualization #algorithms

✴️ @AI_Python_EN

It is a good feeling when a popular Python package adds a new feature based on your article :-)

#Yellowbrick is a great little #ML #visualization library in the Python universe, which extends the Scikit-Learn API to allow human steering of the model selection process, and adds statistical plotting capability for common diagnostics tests on ML.

Based on my article "How do you check the quality of your regression model in Python? they are adding a new feature to the library - Cook's distance stemplot (outlier detection) for regression models.

#python #datascience #machinelearning #data #model
https://www.scikit-yb.org/en/latest/

✴️ @AI_Python_EN

Hey #DeepLearning #AI enthusiast, have you heard of this cool drag & drop AI from #DSAIL lab from MIT?

This is an amazing tool which #managers and #datascience professionals can use instantly!

The researchers evaluated the tool on 300 real-world datasets. Compared to other state-of-the-art #AutoML systems, VDS’ approximations were as accurate, but were generated within seconds, which is much faster than other tools, which operate in minutes to hours.

Next they want to add features like alerts users to potential data bias or errors. For example, to protect patient privacy, sometimes researchers will label medical datasets with patients aged 0 (if they do not know the age) and 200 (if a patient is over 95 years old). But beginners may not recognize such errors, which could completely throw off their analytics.

Here is link to their project Northstar
https://lnkd.in/dmHQugW

Take a look! This is pretty awesome.
#artificialintelligence #automation #autoML #visualization

✴️ @AI_Python_EN