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adv-datamining-and-analytics-assignment1

aml-assignment1-msasnur

Hyper tunning on IMDB Dataset

aml-assignment2

aml-assignment4-msasnur

ba-assignment-msasnur

Business Analytics Assignment 1

ba-assignment2-msasnur

Linear Regression using R

candy-crush-project-datacamp

Candy Crush Saga is a hit mobile game developed by King (part of Activision|Blizzard) that is played by millions of people all around the world. In this Project, I worked with a real Candy Crush dataset and use this data to estimate level difficulty. I used dplyr library to manipulate data frames and ggplot2 library to make plots.

customer-churn

Final Business Analytics project on Customer Churn

customer-segmentation

Created market segmentation model for an Asian market research agency.

face-count-challenge

People detection and head counting is one of the classical albeit challenging computer vision application. For this problem, given a group selfie/photo, you are required to count the number of heads present in the picture. You are provided with a training set of images with coordinates of bounding box and head count for each image and need to predict the headcount for each image in the test set.

healthcare-analytics

Hospital admission data was analyzed to accurately predict the patient’s Length of Stay at the time of admit so that the hospitals can optimize resources and function better.

market-segmentation-analysis-on-olist-e-commerce-data

ml-assignment-1-msasnur

Machine Learning Assignment 1 - [email protected]

ml-assignment-msasnur

Assignment 1 - Universal Bank

ml-assignment4-midterm

Kmeans - Cluster Analysis

ml-assignment5-msasnur

Hierarchical Clustering on Cereals dataset

msasnur-ml-assignment2

nuclear-waste-disposal-using-linear-programming

Proposed a mathematical formulation to reduce the impact of nuclear waste when transporting them from the Power Plant to a disposal site.

object-detection-using-cnn

Developed in R using state-of-art techniques in deep learning i.e. CNN and identified objects in any given images.

qmm-assignment6-msasnur

DEA and Goal Programming

system-simulation-a3

system-simulation-asignment2

system-simulation-assignment1

titanic-survivors

Supervised Machine Learning XGBoost model to classify the survivors in titanic disaster. Dataset is part of Kaggle's active compitetion

underwriting-loan-applications

To check whether the bank should lend money to a customer and the risk associated with it.