mkawsarzaman
Electrical and Electronic Engineering | Signal Processing | Machine Learning | Data Science
Memorial University of NewfoundlandCanada
Pinned Repositories
ANN_hourly_energy_output_prediction
A deep neural network regression to predict net hourly electrical energy output from UCI combined cycle power plant dataset
apriori_market_basket_optimization
Deriving and sorting association rules of two products using Apriori algorithm from an actual weekly retail transaction data
Cancer_classification_uci_breast_cancer_dataset
Classification of benign or malignant cancer using deep ANN in Tensorflow Keras API
Cancer_classification_uci_breast_cancer_dataset_with_Tensorboard
Classification of benign or malignant cancer using deep ANN in Tensorflow Keras API with Tensorboard commands added
Graph-based-Semi-supervised-Learning-MATLAB
codes developed for graph-based semi-supervised learning (LGC, GFHF, GGMC)
house_price_prediction_ANN_Tensorflow_keras
Predicting house prices in King County, USA using historical data from kaggle.com.
NLP_UCI_sms_spam
Classify spam texts using python NLTK toolkit and Multinomial naive-Bayes algorithm with sklearn pipeline
regression_models_comparison
Comparison of performances among regression models: MLR, polynomial, SVR, DT, and RF to predict net hourly electrical energy output from UCI combined cycle power plant dataset
thompson_sampling_ad_CTR_optimization
Reinforcement learning (Thompson sampling) based CTR optimization of ads, the dataset used is a simulated version of actual online responses of customers
upper_confidence_bound_ad_CTR
Reinforcement learning based CTR optimization of ads, the dataset used is a simulated version of actual online responses of customers
mkawsarzaman's Repositories
mkawsarzaman/Graph-based-Semi-supervised-Learning-MATLAB
codes developed for graph-based semi-supervised learning (LGC, GFHF, GGMC)
mkawsarzaman/thompson_sampling_ad_CTR_optimization
Reinforcement learning (Thompson sampling) based CTR optimization of ads, the dataset used is a simulated version of actual online responses of customers
mkawsarzaman/upper_confidence_bound_ad_CTR
Reinforcement learning based CTR optimization of ads, the dataset used is a simulated version of actual online responses of customers
mkawsarzaman/ANN_hourly_energy_output_prediction
A deep neural network regression to predict net hourly electrical energy output from UCI combined cycle power plant dataset
mkawsarzaman/apriori_market_basket_optimization
Deriving and sorting association rules of two products using Apriori algorithm from an actual weekly retail transaction data
mkawsarzaman/Cancer_classification_uci_breast_cancer_dataset
Classification of benign or malignant cancer using deep ANN in Tensorflow Keras API
mkawsarzaman/Cancer_classification_uci_breast_cancer_dataset_with_Tensorboard
Classification of benign or malignant cancer using deep ANN in Tensorflow Keras API with Tensorboard commands added
mkawsarzaman/CatBoost_Cancer_classification
Classification of benign or malignant cancer using self tuning CatBoost algorithm by Yandex
mkawsarzaman/churn_modelling_ANN
Churn modelling with a bank data using deep neural network to predict whether a customer is likely to leave or stay
mkawsarzaman/house_price_prediction_ANN_Tensorflow_keras
Predicting house prices in King County, USA using historical data from kaggle.com.
mkawsarzaman/NLP_UCI_sms_spam
Classify spam texts using python NLTK toolkit and Multinomial naive-Bayes algorithm with sklearn pipeline
mkawsarzaman/regression_models_comparison
Comparison of performances among regression models: MLR, polynomial, SVR, DT, and RF to predict net hourly electrical energy output from UCI combined cycle power plant dataset
mkawsarzaman/Decision-Tree-regression
Decision tree regression to predict net hourly electrical energy output from UCI combined cycle power plant dataset
mkawsarzaman/DT_RF-project-with-LendingClub-Data
Classify and predict whether or not the borrower paid back their loan in full using lending data from 2007-2010
mkawsarzaman/eclat_market_basket_optimization
association of two products using eclat algorithm from an actual weekly retail transaction data
mkawsarzaman/grade_index_calculator
calculation of student grades based on total marks achieved over the semester and assignining index values
mkawsarzaman/hierarchichal_clustering_mall_customers
hierarchichal agglomerative clustering to cluster the customers of a shopping mall based on age, income, and expenditure
mkawsarzaman/Image_classification_cnn
Classification of dogs and cats images with a fully connected convolutional neural network
mkawsarzaman/k-means-clustering
k-means clustering to cluster the customers of a shopping mall
mkawsarzaman/k-means_clustering_college-data
attempting to cluster universitites in two groups- private and public using k-means clustering
mkawsarzaman/knn_project
KNN to create a model that directly predicts a class for a new data point based off of the features
mkawsarzaman/linear_regression_project_ecommerce_advice
advising an ecommerce company whether to focus their efforts on their mobile app experience or their website
mkawsarzaman/logistic_regression_titanic_dataset
predicting a classification- survival or deceased from the titanic dataset
mkawsarzaman/multiple-linear-regression
Multiple linear regression to predict net hourly electrical energy output from UCI combined cycle power plant dataset
mkawsarzaman/NLP_sentiment_analysis_review_data
Sentiment analysis from customer reviews with Bag of words model of Natural Language Processing
mkawsarzaman/polynomial-regression
polynomial regression to predict net hourly electrical energy output from UCI combined cycle power plant dataset
mkawsarzaman/prediction_loan_default_ANN_Tensorflow_keras
prediction of customer loan pay-off using from LendingClub data using deep ANN in Tensorflow Keras API
mkawsarzaman/Random-forest-regression
Random Forest regression to predict net hourly electrical energy output from UCI combined cycle power plant dataset
mkawsarzaman/support_vector_regression
support vector regression to predict net hourly electrical energy output from UCI combined cycle power plant dataset
mkawsarzaman/XGBoost_cancer_classification
Classification of benign or malignant cancer using XGBoost