Data Pre-processing in Machine Learning - All the constituent steps which are part of a Machine Learning Project ( infographic notes )

 

Applications of Machine Learning - Notes on the various uses and applications of Machine Learning and the ways in which they can be leveraged

 

Difference between Data Science and Machine Learning - Notes on Conceptual Differences , Skills for an ML Engineer and DS Engineer

 

Infographic Notes on most commonly used Machine Learning Algorithms - Revision Short Notes on each topic , working principle , goals , application areas

 

* supervised

* unsupervised

* linear regression

* logistic regression

*decision tree

* knn

* k-means

* naive bayes

* svm - support vector machines

Notes on Principal Component Analysis (PCA) Algorithm - Revision Short Notes on what it is , how it is done , its goals , application areas

 

Notes on Apriori Algorithm - Revision Short Notes on what it is , how it is done , its goals , application areas

 

Notes on Random Forest Algorithm - Revision Short Notes on what it is , how it is done , its goals , application areas