Ritvikpalvankar
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Quantitative Geometry for GRE (Manhattan)
The document has quantitative problems including text completion and sentence equivalence. It has also solutions to the problems. Good for someone who is prepping for GRE.
- Exam (elaborations)
- • 219 pages •
The document has quantitative problems including text completion and sentence equivalence. It has also solutions to the problems. Good for someone who is prepping for GRE.
Linear regression, Generalization and Regularization
The document is helpful for all those students who are looking for an easier explanation to how regularization is done in Linear regression. A precise and a simplified way to understand complex concepts. The document also has examples in Python without using inbuilt packages for Linear regression.
- Class notes
- • 14 pages •
The document is helpful for all those students who are looking for an easier explanation to how regularization is done in Linear regression. A precise and a simplified way to understand complex concepts. The document also has examples in Python without using inbuilt packages for Linear regression.
Linear regression
The document gives you a detailed explanation to how a linear regression can be performed on polynomial features. It dives inside the mathematics and linear algebra involved in the process.
- Other
- • 9 pages •
The document gives you a detailed explanation to how a linear regression can be performed on polynomial features. It dives inside the mathematics and linear algebra involved in the process.
Machine Learning A-Z
The document contains all the necessary algorithms, Machine Learning and statistics techniques. The document also contains approach for data pre-processing and applying those algorithms to the data available.
- Other
- • 52 pages •
The document contains all the necessary algorithms, Machine Learning and statistics techniques. The document also contains approach for data pre-processing and applying those algorithms to the data available.