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Study 09 Machinelearning E ⭐ 8

**Unsupervised-Learning**(with practice of PCA, ICA and Model-based Clustering)

Nlp Project Book Insights With Plotly ⭐ 7

Plotly-Dash NLP project. Document similarity measure using Latent Dirichlet Allocation, principal component analysis and finally follow with KMeans clustering. Project is completed with dynamic visual interaction.

Predicting Power Output Of A Combined Cycle Power Plant. ⭐ 5

The objective of the Project is to predict ‘Full Load Electrical Power Output’ of a Base load operated combined cycle power plant using Polynomial Multiple Regression. Concepts : 1) Clustering, 2) Polynomial Regression, 3) LASSO, 4) Cross-Validation, 5) Bootstrapping

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