Mohsenselseleh
-Student BA commerce , Nipssing university -MA Mathematics & Statistics York University -MA Data Science University of Guelph -PG Big Data Analytics TMU
Brampton, ON, Canada
Pinned Repositories
-EDA-Basketball
EDA Basketball+streamlite
-Logistic_Regression_with_a_Neural_Network_mindset
Logistic Regression with a Neural Network mindset
-Rain-in-Australia_Decision-Trees
Decision Trees - Machine Learning with Python
Absenteeism
Our project tackles absenteeism head-on with research-driven strategies, transparent communication, and ongoing evaluation. By addressing root causes and fostering a supportive environment, we aim to boost productivity and well-being for all stakeholders."
Advertisment_Revenue_project
This is final project Data science bootcamp Indian Institute of Technology Guwahati
Airlines
# Objective "The objective of this data analysis initiative, utilizing Python and SQL, is to uncover strategies for elevating occupancy rates on underperforming flights, thereby boosting the airline's profitability."
ANOVA_red.cell.folate-
ANOVA TEST FOR ISwR library and look at the red.cell.folate data
Hospital-Transfusion
Admissions.csv simulates administrative data where each row represents a unique admission to a hospital. Lab.csv simulates results for patients who had laboratory testing (e.g. blood counts) in their admission. Transfusions.csv simulates information on patients who underwent a blood transfusion in their admission. 1. Impute the missing charlson_comorbidity_index values in any way you see fit, with the intention that this variable will be used as a predictor in a statistical model. 2. Determine if there is a significant difference in sex between patients who had an rbc_transfusion and patients that did not. Fit a linear regression model using the result_value of the “Platelet Count” lab tests as the dependent variable and age, sex, and hospital as the independent variables. Briefly interpret the results. 4. Create one or multiple plots that demonstrate the relationships between length_of_stay (discharge date and time minus admission date and time), charlson_comorbidity_index, and age. 5. You are interested in evaluating the effect of platelet transfusions on a disease. The patients with platelet_transfusion represent the selected treatment group. Select a control group in any way you see fit. How could you improve your selection if you had more data and access to any clinical variable you can think of? 6. Fit a first-iteration statistical model of your choosing to predict the result_value of the “Hemoglobin” lab tests and evaluate its performance. How could you improve the model if you had more data and access to any clinical variable you can think of?
Power-Bi-PhoneNow-inputs
Here is your task Your colleague, the engagement partner, asks you to do the following tasks: Define proper KPIs Create a dashboard for the retention manager reflecting the KPIs Write a short email to him (the engagement partner) explaining your findings, and include suggestions as to what needs to be changed
U.S.A.-Presidential-Vocabulary
In this project you will have the chance to analyze the inaugural addresses of the presidents of the United States of America, as collected by the Natural Language Toolkit, using word embeddings.
Mohsenselseleh's Repositories
Mohsenselseleh/-EDA-Basketball
EDA Basketball+streamlite
Mohsenselseleh/-Logistic_Regression_with_a_Neural_Network_mindset
Logistic Regression with a Neural Network mindset
Mohsenselseleh/Absenteeism
Our project tackles absenteeism head-on with research-driven strategies, transparent communication, and ongoing evaluation. By addressing root causes and fostering a supportive environment, we aim to boost productivity and well-being for all stakeholders."
Mohsenselseleh/Advertisment_Revenue_project
This is final project Data science bootcamp Indian Institute of Technology Guwahati
Mohsenselseleh/Airlines
# Objective "The objective of this data analysis initiative, utilizing Python and SQL, is to uncover strategies for elevating occupancy rates on underperforming flights, thereby boosting the airline's profitability."
Mohsenselseleh/Causal-Inference
Causal Inference
Mohsenselseleh/CevicalCancer
CevicalCancer
Mohsenselseleh/CIND820_FINAL-PROJECT
Final Project of CIND 820
Mohsenselseleh/DATA-SCIENCE-6100-FIANL-PROJECT
DATA SCIENCE 6100 FIANL PROJECT
Mohsenselseleh/DATA6200-FINAL-PROJECT
Mohsenselseleh/Data6500_Case-study
Case Study one Data science 6500
Mohsenselseleh/Developing-a-physician-performance-model-in-critical-care-Assessing-quality-and-value
Situation of the patients in the ICU is so critical in the hospitals. Therefore performance health care practitioners is so important for saving life. In this study ,I provide descriptive statistics for physicians with traditional evaluations 360 model and with new models for SOFA and APACHE-II scores that provide a better tools for examine performance.
Mohsenselseleh/Employee-satisfaction
Employee Satisfaction Index Dataset
Mohsenselseleh/Fake-News-Detection
Fake News Detection
Mohsenselseleh/Guided-Project-Explore-U.S.-Births
Guided Project: Explore U.S. Births
Mohsenselseleh/Intrusion-Detection
This is project data sciecne 6600 for cyber security part
Mohsenselseleh/June25
Teaching material Upgrad june 25
Mohsenselseleh/Mongodb_Project
enter document in mongodb and calculate average
Mohsenselseleh/Mysql_and_Entity-Relationa-Data-Model
Entity-Relationa-Data-Model _MYSQL
Mohsenselseleh/Mysql_project
Mysql_project
Mohsenselseleh/predictions-of-breast-cancer-using-svm
predictions-of-breast-cancer-using-svm
Mohsenselseleh/RSHINY_Marketing-bank
It is visualization bank marketing dataset
Mohsenselseleh/Shopify-Questions
Shopify Questions
Mohsenselseleh/Simple-Stock-Price
Simple Stock Price
Mohsenselseleh/Spatial-Analysis-Ponderosa-Pine-Tree-Point-Pattern
Spatial Analysis Ponderosa Pine Tree Point Pattern
Mohsenselseleh/Spatial-data-analysis
Spatial data analysis
Mohsenselseleh/STAT6801-Final-Project
STAT6801 Final Project
Mohsenselseleh/Twitter-sentiment-analysis-for-Bitcoin
Twitter sentiment analysis for Bitcoin
Mohsenselseleh/Unsupervised-Machine-Learning-for-Customer-Segmentation
Unsupervised-Machine-Learning-for-Customer-Segmentation
Mohsenselseleh/VIF-and-Linear-regression
VIF helps us to find multicollinearity