AI, Python, Cognitive Neuroscience
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If you’re learning #datascience or #analytics, then really take the time to understand the art of making the complex simple.

No matter where you go, the data that you use for your:
- visualizations
- machine learning
- statistical analysis
- presentations

All boils down to how well you can communicate the results.

So build the habit on documentation, storytelling, and simplifying your thoughts on papers.

Spend that extra time to articulate your thoughts and think deeply on how you want to present your data.

Because that’s a skill that will always be needed in any place you go.

And not only will you thank yourself for doing this in the future, but your team will love you for making it so simple for them. πŸ™‚

Also, who doesn’t love a simple and meaningful story.

#machinelearning #storytelling #communication

✴️ @AI_Python_EN
This guide gives a complete understanding about various #machinelearning algorithms along with R & Python #codes to run them. These #algorithms can be applied to any data problem:
Linear Regression,
Logistic Regression,
Decision Tree,
SVM,
Naive Bayes,
kNN,
K-Means,
#Random Forest.
If you are keen to master machine learning, start right away.

Link : bit.ly/2CpWIjH

#machinelearning #deeplearning #python #coding #linkedin #decisiontrees #logisticregression #linearregression #forest #analytics #randomization #computervision

✴️ @AI_Python_EN