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Arpit Dwivedi edited this page Dec 1, 2020
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1 Competition,1 project
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Part1: Flowchart with proper explanation of given algorithms.
1.) SUPERVISED LEARINING
- Classification
- Random Forest
- Decision Trees
- Logistic Regression
- Support Vector Machines
- KNN
- Naïve Bayes
Usage
- Regression
- Linear Regression
- Regularization Techniques (LASSO)
- Polynomial Regression
- Support Vector Regression
- Decision Tree Regression
- Random Forest Regression
Usage
2.) UNSUPERVISED LEARINING
- Clustering
- K-Means
- K Nearest Neighbours
Usage
- Classification
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Part4: Performance Measure(Regression)
- R-Squared
- rmse(Root mean square error)
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Part6:Competition: Checking Accuracy for different models on boston house prediction