Abdullah Farid Abdullah's repositories
AI-IEEE-CS23-ZSB
AI-IEEE-CS23-ZSB
Appointment_Attendance_Data-Analysis
I performed necessary data analysis procedures to analyze a dataset of relationship between patients' features and if they have showed up for their appointment
ATM_Simulation
Simulated an ATM functions of withdrawal, deposit, and check balance using Python
Bitcoin-Price-Forecast
Using numpy, matplotlib, sklearn libraries, how can you predict a signal that indicates whether buying a particular stock will be helpful or not by using ML.
Demographic-Data-Analyzer
I analyzed demographic data using Pandas. You are given a dataset of demographic data that was extracted from the 1994 Census database.
Fruit_Ninja_Recreation
I recreated the "classic" 3 lives mode of the game Fruit Ninja using Java & JavaFX
Identify_Customer_Segments
Udacity Project
IEEE-ZSB-Technical-Rookies-23
1st task as a IEEE CS member
Mean-Variance-Standard-Deviation-Calculator
Create a function named calculate() in mean_var_std.py that uses Numpy to output the mean, variance, standard deviation, max, min, and sum of the rows, columns, and elements in a 3 x 3 matrix.
Medical-Data-Visualizer
I visualized and made calculations from medical examination data using matplotlib, seaborn, and pandas. The dataset values were collected during medical examinations.
Page-View-Time-Series
For this project I visualize time series data using a line chart, bar chart, and box plots. I used Pandas, Matplotlib, and Seaborn to visualize a dataset containing the number of page views each day on the freeCodeCamp.org forum from 2016-05-09 to 2019-12-03. The data visualizations will help you understand the patterns in visits and identify yearly and monthly growth.
Parking-YOLO-Spot-Detection
Graduation project standard section spot detector using YOLOv5
Parkinsons-Disease-Prediction
Using numpy, matplotlib, sklearn libraries, how can you predict whether a person has Parkinson’s disease or not?
US-BikeShare-Data-Analysis
In this project, I made use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. I wrote code to import the data and answer interesting questions about it by computing descriptive statistics. I wrote a script that takes in raw input to create an interactive experience in the terminal to present these statistics.
Youtube-Songs-Analysis
Mentorness Data Analysis Internship Project