A data scientist should have deep understanding on data mining, supervised and unsupervised learning algorithms and recognizing patterns in data. A in depth understanding of these algorithms gives us an edge to apply these efficiently in all real life problems.
Some of the machine learning concepts that need to be mastered are
Some of the machine learning concepts that need to be mastered are
- Neural Networks
- Decision Trees
- Random Forests
- Gradient Boosted Machines (GBM)
- Xgboost
- SVM
- Regression - Ridge and Lasso
- Hierarchical Clustering (Single Linkage and Complete Linkage)
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