PinnedAli SoleymaniGrid search and random search are outdated. This approach outperforms both.If you’re a data scientist, there is a good chance you have used “Grid Search” to fine-tune the hyperparameters of your model. This is a…Feb 8, 20236Feb 8, 20236
PinnedAli SoleymaniinTowards Data ScienceStop Using SMOTE to Treat Class Imbalance. Take This Intuitive Approach InsteadLet’s expose the myth; SMOTE doesn’t deserve the hype. This simple approach does!Apr 2, 202215Apr 2, 202215
PinnedAli SoleymaniStop using random forest feature importances. Take this intuitive approach insteadA more accurate and intuitive alternative to random forest feature importancesFeb 25, 202219Feb 25, 202219
Ali SoleymaniinTowards Data ScienceYour validation loss is lower than your training loss? This is why!Just because your model learns from the training set doesn’t mean its performance will be better on it.Apr 8, 20223Apr 8, 20223
Ali SoleymaniBasics of Network Theory that every data scientist must know in simple termsData science is more than just machine learning. You need to know this much about networks too!Mar 24, 20222Mar 24, 20222
Ali SoleymaniinTowards Data Science5 Facts they don’t tell you about random forest feature importances5 Key facts to know before interpreting tree-based feature importancesMar 17, 20221Mar 17, 20221
Ali SoleymaniWhat is K-Medoids Clustering and When should you use it instead of K-MeansThere are many unsupervised learning algorithms out there, from the famous K-Means and hierarchical methods to Gaussian Mixture models and…Mar 11, 2022Mar 11, 2022
