Sudhan Bhattarai's repositories
CVRPTW_MILP
Solving a Capacitated Vehicle Routing Problem with time windows constraints (CVRPTW) with Mixed Integer Linear Programming (MILP) in python-gurobi API.
HHCRP-1_problem_from_literature
Home healthcare routing problem (HHCRP): replication of an algorithm from literature. Solving the master problem of a benders decomposition model of HHCRP using the mixed integer programming (MIP) method.
two_stage_VS_multi_stage_stochastic_programming
Solving a discrete stochastic programming optimization problem by
HHCRP-2_new_model
Multi-period Home Healthcare Routing Problem (HHCRP) with qualification, synchronization and time windows constraints.
Simulated_Annealing_Travelling_Salesman_Problem
Using Simulated Annealing (SA) algorithm to improve an initial solution from Nearest Neighbor Search (NNS) for Travelling Salesman Problem (TSP).
kMeans_clustering_from_scratch
K means clustering algorithm from scratch to solve a facility location problem (FLP).
Linear_Regression_Polynomial_Fit
Linear Regression with non-linear features input using polynomial transformation.
Linear_Regression_vs_Deep_Neural_Network
Comparing a deep neural network (DNN) model with a linear regression (LR) model to forecast demand for an elderly care facility.
Machine_Learning_01Classification_scikit-learn
Comparing Logistic regression, Support vector machine, Decision tree, Random forest and Gradient Boosting models for binary classification ML problem using scikit-learn.
WinterModel_TimeSeries
A time series forecast using winter model for a seasonal data.
01Knapsack_Dynamic_Programming
Using Dynamic Programming (DP) method to optimize a 0/1 Knapsack Problem for Amazon shopping list.
Incomplete_project--Convolutional_Neural_Network_chest_Xrays
Using CNN, DNN and augumented linear output to build three different neural network models to classify the chest diseases from Xrays, numeric inputs and also projecting the prognosis period measure.
Linear_Regression_from_scratch--Y-equals-b0-plus-b1X
Linear regression from scratch with the statictical (least squares) & the gradient descent methods.
MM1_Queue_Simulation
Calculate an average wait time in a M/M/1 queue. A M/M/1 model is a single server queuing system with exponential arrival and service times.
quadratic_curve_fitting
Curve fitting using Gurobi/Python
Recurrent_Neural_Network_Natural_Language_Processing
Recurrent Neural Network to model Natural Language data with categorical output. Application: predicting side effects and effectiveness of a drug from user review data.