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Hesam Mousavi's Projects

bayesian icon bayesian

Homework#3 in Statistical Pattern Recognition at Shiraz University

desiciontree icon desiciontree

It's 4th homework of Machine Learning in Shiraz university

fuzzy-c-mean icon fuzzy-c-mean

It's project#3 in Fuzzy system course at Shiraz University

fuzzy-rule-base icon fuzzy-rule-base

It's project#4(final-project) in Fuzzy system course at Shiraz University

linear-regression icon linear-regression

Linear regression tries to model the relationship between two variables by applying a linear equation to a series of data. Your task is to train linear model on the given datasets. Implement linear regression using closed form solution and the Gradient Descent algorithm (Batch or Stochastic, only one) and test your implementation on the given Test Dataset. • Use the Data-Train to train your model, and test on the Data-Test. • Plot of the datasets and regression lines. • Plot cost function for enough iteration for linear regression in Gradient Descent (Batch or stochastic, only one). • Report the learned parameters (θ0 , θ1 , ..., θn ), and also the value of MSE error on the train and test data. • Do not forget that you could normalize the data.

pacmanz icon pacmanz

It's Machine Learning Homework in Shiraz University

pca-fisher-lda icon pca-fisher-lda

Part of Homework#4 in Statistical Pattern Recognition at Shiraz University

python-for-data-analysis-3e icon python-for-data-analysis-3e

I started to teaching Data Analysis from this book ("Python for Data Analysis, 3E") and I would be happy if it going to help you

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