rafsanRubaiyat

DL_Python

Theano, Keras, Tensorflow, and other essential libraries' usage for Neural Networks

Forest-Fire-StepwiseRegression

Forest-Fire-StepwiseRegression The relationships between the ‘Probability of Forest Fire’ in Algeria and its various weather components have been estimated.

GraphEmd

MFS-Rural_Agents-Female_Users

Linear and Polynomial Regression, independent variables: rural agent no, rural female account no, dependent variables: total transaction number, total transaction amount

MFS-Synthetic-Fraud-Data

A data analysis notebook of 6 million synthetic MFS transactions and classifying the fraud ones

ML-classification-method

We have implemented different ML classification methods to predict whether a student would like to go to college based on many of the other features. Then, we have compared the performance of the methods.

Prediction-performance-of-ML-methods-on-MNIST-data

I have evaluated the prediction performance of different ML methods: Multinomial Logistic Regression, Decision Trees and Random Forests, Support Vector Machine, Linear Discriminant Analysis, and Deep Neural Networks on classifying the digits of the MNIST dataset with tuning and validation.

rafsanRubaiyat

Config files for my GitHub profile.

rafsanRubaiyat.github.io

Site for my projects and articles

sea-ice-extent

Time Series and regression analysis on Sea Ice Extent in North and South pole.

rafsanRubaiyat/Forest-Fire-StepwiseRegression

Forest-Fire-StepwiseRegression The relationships between the ‘Probability of Forest Fire’ in Algeria and its various weather components have been estimated.

rafsanRubaiyat/ML-classification-method

We have implemented different ML classification methods to predict whether a student would like to go to college based on many of the other features. Then, we have compared the performance of the methods.

rafsanRubaiyat/DL_Python

Theano, Keras, Tensorflow, and other essential libraries' usage for Neural Networks

rafsanRubaiyat/GraphEmd

rafsanRubaiyat/MFS-Rural_Agents-Female_Users

Linear and Polynomial Regression, independent variables: rural agent no, rural female account no, dependent variables: total transaction number, total transaction amount

rafsanRubaiyat/MFS-Synthetic-Fraud-Data

A data analysis notebook of 6 million synthetic MFS transactions and classifying the fraud ones

rafsanRubaiyat/Prediction-performance-of-ML-methods-on-MNIST-data

I have evaluated the prediction performance of different ML methods: Multinomial Logistic Regression, Decision Trees and Random Forests, Support Vector Machine, Linear Discriminant Analysis, and Deep Neural Networks on classifying the digits of the MNIST dataset with tuning and validation.

rafsanRubaiyat/rafsanRubaiyat

Config files for my GitHub profile.

rafsanRubaiyat/rafsanRubaiyat.github.io

Site for my projects and articles

rafsanRubaiyat/SAS_ML

rafsanRubaiyat/sea-ice-extent

Time Series and regression analysis on Sea Ice Extent in North and South pole.