EmalIsmail

Blood_Donation

Blood Donation App is a small light weight python based app for blood donation processes management for ambulances and blood donation camps.

Correlation-Coefficient-GDP-Internet-Usage-Python-and-Jupyter-Notebook

For this research project, the World Development Indicators Dataset has been used. Specifically, the indicators of Internet users (per 100 people) and GDP per capita of Afghanistan from 2004 up to 2014. The mini project is completed using Jupyter Notebook and Python's Numpy, Pandas, and Matplotlib libraries

Enterprise-Architecture-Project-for-Novoville-

This project suggest improvements to the existing enterprise architecture of civil engagement platform Novoville.

Financial-and-Operational-Cost-Barriers-to-E-Government-Systems-Evidence-from-Afghanistan

Specifically, for the analysis, imputation, and visualization of desired variables, Pandas, Numpy, Scikit-Learn, Matplotlib, and Seaborn Python libraries have been used. The inferential analysis used the Spearman Rank correlation, a Python programming language built-in correlation (corr) function's Spearman method is performed.

ITC-315

Software Engineering - FALL 2020 - SECTION 001

ITC315

Predict-The-Stock-Market-With-Machine-Learning-And-Python-s-library-sklearn--RandomForestClassifier-

Predict tomorrow's S&P 500 index price using historical data. The data analysis has been preformed mainly using Jupyter Notebook and Python Machine Learning library of sklearn -RandomForestClassifier

Predicting-The-Philadelphia-Weather-Using-Machine-Learning-and-NE-Airport-Weather-Station-Data

In this project weather data from a station at the Philadelphia North East Airport. The data is from 1960 through 2023. Each row in the data represents one day, and the columns represent different weather measurements. For the data analysis Python’s Sklearn, and Pandas libraries have been used.

Statistical-Data-Analysis-Uni-variate-Data-Analysis-Project-Using-R

This paper summarise findings from farmers of 3 different provinces of Afghanistan. The survey sample included 1503 farmers owners/operators. Questionnaires were asked as an structured interview with the farmers.

The-effect-of-Rainfall-and-Temperature-on-Livestock-Net-Revenue-A-simple-Regression-Analysis-Using-R

In this paper we are analysing The effect of rainfall and temperature on Live- stock Net Revenue using R programming language.

EmalIsmail/Blood_Donation

Blood Donation App is a small light weight python based app for blood donation processes management for ambulances and blood donation camps.

EmalIsmail/Correlation-Coefficient-GDP-Internet-Usage-Python-and-Jupyter-Notebook

For this research project, the World Development Indicators Dataset has been used. Specifically, the indicators of Internet users (per 100 people) and GDP per capita of Afghanistan from 2004 up to 2014. The mini project is completed using Jupyter Notebook and Python's Numpy, Pandas, and Matplotlib libraries

EmalIsmail/Enterprise-Architecture-Project-for-Novoville-

This project suggest improvements to the existing enterprise architecture of civil engagement platform Novoville.

EmalIsmail/Financial-and-Operational-Cost-Barriers-to-E-Government-Systems-Evidence-from-Afghanistan

Specifically, for the analysis, imputation, and visualization of desired variables, Pandas, Numpy, Scikit-Learn, Matplotlib, and Seaborn Python libraries have been used. The inferential analysis used the Spearman Rank correlation, a Python programming language built-in correlation (corr) function's Spearman method is performed.

EmalIsmail/Predict-The-Stock-Market-With-Machine-Learning-And-Python-s-library-sklearn--RandomForestClassifier-

Predict tomorrow's S&P 500 index price using historical data. The data analysis has been preformed mainly using Jupyter Notebook and Python Machine Learning library of sklearn -RandomForestClassifier

EmalIsmail/Predicting-The-Philadelphia-Weather-Using-Machine-Learning-and-NE-Airport-Weather-Station-Data

In this project weather data from a station at the Philadelphia North East Airport. The data is from 1960 through 2023. Each row in the data represents one day, and the columns represent different weather measurements. For the data analysis Python’s Sklearn, and Pandas libraries have been used.

EmalIsmail/Statistical-Data-Analysis-Uni-variate-Data-Analysis-Project-Using-R

This paper summarise findings from farmers of 3 different provinces of Afghanistan. The survey sample included 1503 farmers owners/operators. Questionnaires were asked as an structured interview with the farmers.

EmalIsmail/The-effect-of-Rainfall-and-Temperature-on-Livestock-Net-Revenue-A-simple-Regression-Analysis-Using-R

In this paper we are analysing The effect of rainfall and temperature on Live- stock Net Revenue using R programming language.

EmalIsmail/ITC-315

Software Engineering - FALL 2020 - SECTION 001

EmalIsmail/ITC315

EmalIsmail/ITC315-Discussion_4-

This is just an Assignment as Fourth Graded Discussion.

EmalIsmail/Project_linux

Test Repository

EmalIsmail/ScrumProject-Dictionary

This repo. is for the Scrum Project in which we (Emal Ismai, Muhhammad Yousuf Sultani, Muhammad Elyad Fikrat, Rayhana Amiri, Zahra Stanikzai, Sayed Shabeer Hashimi) will develop and Dari-English & English-Dari dictionary.

EmalIsmail/Student-Grading-System

Homework#1