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Machine learning

Support Vector Machine

Table of Contents Introduction How does Support Vector Machine work (SVM) ? Kernel trick Implementing SVM in Python Advantages and Disadvantages Applications Introduction Support Vector Machine (SVM) is a popular supervised machine learning…

A Refresher on Regression Analysis

In statistics, a data build a model, but it is also true that a model can build the data. For example, the yield of a crop can be predicted by using the amount of fertilizers, irrigation techniques and fertility of the soil as a predictor…

Random Forest Algorithm

“Data will talk to you if you are willing to listen to it” – Jim Bergeson Table of Contents Real-time analogy Properties How does it work? Pseudocode Feature importance Important Hyperparameters Implementing Random Forest in Python…

K Fold Cross Validation

“If you torture the data long enough, it will confess” – Ronald Coase For any machine learning model you design, what is the most common and the important thing you expect from it. Yes, the expected accuracy rate. Conventionally, you used…