Pinned Repositories
AG-News-Topic-Classification-and-Topic-Modeling-using-Natural-Language-Processing
This repo demonstrates how to perform topic classification and modeling using Natural Language Processing.
Cluster-analysis-of-pressure-decline-during-solute-transport-in-bulk-liquid
In this notebook, I used unsupervised machine learning algorithms (K-Means and K-Plane) to cluster times series data.
COMSOL_modeling_solute_transport_and-turbulent_flow_analysis
Use COMSOL Multiphysics to model the transport of gas into the bulk oil phase during gas injection processes. This model was used to simulate the visualization study of gas/oil interactions as detailed in SPE-201109-PA.
Exploring-greenhouse-gas-emissions-database
In this notebook, I queried greenhouse gas emissions database of provinces and territories in Canada using foundational SQL statements, filtered result sets, worked with tables.
Linear-Programming-MILP-DP-NLP-Optimization-With-Python
This notebook serves as an introduction to Linear Programming and MILP with Python, covering both the concepts and practical applications through various popular optimization problems.
MATLAB_modeling_two_phase_flow
Modeling two-phase flow and transport in porous media using MATLAB.
Multiclass-classification-of-breast-cancer-patients
In this notebook, I built gradient boosting classifier and neural network models to classify and predict the survival rate of patients with breast cancer.
Optimization-of-building-energy-consumption
This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.
Segmentation-of-satellite-images-of-water-bodies
In this notebook, I employed built-in Keras Sequential model and pretrained ResNet50 model using Pytorch to perform segmentation of satellite images of water bodies.
Time-series-regression-of-Rossmann-stores-sales-data
In this notebook, I built machine learning and neural network models to regress and predict Rossmann stores' daily sales.
tstran155's Repositories
tstran155/Optimization-of-building-energy-consumption
This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.
tstran155/Linear-Programming-MILP-DP-NLP-Optimization-With-Python
This notebook serves as an introduction to Linear Programming and MILP with Python, covering both the concepts and practical applications through various popular optimization problems.
tstran155/MATLAB_modeling_two_phase_flow
Modeling two-phase flow and transport in porous media using MATLAB.
tstran155/Segmentation-of-satellite-images-of-water-bodies
In this notebook, I employed built-in Keras Sequential model and pretrained ResNet50 model using Pytorch to perform segmentation of satellite images of water bodies.
tstran155/Time-series-regression-of-Rossmann-stores-sales-data
In this notebook, I built machine learning and neural network models to regress and predict Rossmann stores' daily sales.
tstran155/Cluster-analysis-of-pressure-decline-during-solute-transport-in-bulk-liquid
In this notebook, I used unsupervised machine learning algorithms (K-Means and K-Plane) to cluster times series data.
tstran155/COMSOL_modeling_solute_transport_and-turbulent_flow_analysis
Use COMSOL Multiphysics to model the transport of gas into the bulk oil phase during gas injection processes. This model was used to simulate the visualization study of gas/oil interactions as detailed in SPE-201109-PA.
tstran155/Multiclass-classification-of-breast-cancer-patients
In this notebook, I built gradient boosting classifier and neural network models to classify and predict the survival rate of patients with breast cancer.
tstran155/AG-News-Topic-Classification-and-Topic-Modeling-using-Natural-Language-Processing
This repo demonstrates how to perform topic classification and modeling using Natural Language Processing.
tstran155/Exploring-greenhouse-gas-emissions-database
In this notebook, I queried greenhouse gas emissions database of provinces and territories in Canada using foundational SQL statements, filtered result sets, worked with tables.
tstran155/Prediction-of-mineral-scaling-from-produced-water-composition
In this notebook, I built gradient boosting classifier and LSTM model to classify and predict the mineral scaling potential of formation water in US shale basins.
tstran155/YYC-DataPost---A-Streamlit-App-for-Data-Analytics
A Streamlit app for analyzing and visualizing Calgary City Services 311 data. Offers features like data filtering, interactive visualizations, and more.