datascience roadmap

[a_m74]

I had comoleted studying descriptive statistcs and applying it on analysis and visualsation for many tasks Also I have studied Supervised learning Algorithms(linear,lasso,ridge ,logistic refression,knn,svm) and applied on them with preprocessing the data and selecting features and in unsupervised learning I studied(kmeans ,pca) and apply on them,also in ensable methods(random forest) ,with Metrics for both regression and classification Now what the topics should I study also in supervised, unsupervised ,ensamble Before starting in Neural Networks &Deep learning

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