6 Predictive Models that every Data Scientist Should Master
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Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This video brings you 6 models that are widely used in the industry, either in standalone form or as a building block for other advanced techniques.
📰 References:
📈 Linear Regression:
https://statisticsbyjim.com/regressio...
https://towardsai.net/p/machine-learn...
https://scikit-learn.org/stable/modul...
📈 Logistic Regression:
https://towardsdatascience.com/logist...
🌳 Decision trees:
https://365datascience.com/tutorials/...
🌳🌳 Random Forest:
https://towardsdatascience.com/a-visu...
https://scikit-learn.org/stable/modul...
🌳🚀 Boosting Models
https://xgboost.readthedocs.io/en/sta...
https://lightgbm.readthedocs.io/en/la...
https://towardsdatascience.com/all-yo...
🧠Neural Network:
https://towardsdatascience.com/first-...
https://www.hackerrank.com/blog/types...
https://theaisummer.com/attention/
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