AL-SayedHamdy
24 years old. Data scientist, analyst, and machine learning engineer Graduated from computer science college at Mansoura University.
Cairo, Egypt
Pinned Repositories
Suity
Clothes recommender system
Philippines-Dengue-Cases-data-analysis
This document presents an Exploratory Data Analysis (EDA) focused on dengue fever cases in the Philippines, offering insights and trends derived from the dataset.
Airbnb-Data-Analysis-Using-Tableau
This is a data analysis project using Tableau, focusing on analyzing Airbnb room prices. The goal is to understand what factors influence room prices and identify the most profitable times of the year.
Bike-Buyers-Data-Analysis-Using-Excel
Utilizing solely Microsoft Excel for this project enables a comprehensive analysis of the bicycle market and elucidates the interrelations within this business sector.
Covid-Data-Analysis-Using-SQL-Server
A comprehensive exploration of COVID-19 data using SQL Server. This project involves data cleaning, analysis, and visualization to uncover trends, patterns, and insights related to the pandemic.
Nashville-Housing-Data-Analysis-Using-SQL-Server
Comprehensive Data Cleaning and Preparation of Nashville Housing Data Utilizing SQL Server. This project involves identifying and addressing data quality issues, ensuring data consistency, and transforming raw data into a suitable format for further analysis.
AL-SayedHamdy
Brain-tumor-classification
It's a Brain tumor classification which working with the convolutional neural networks (CNN) it's can start to predict from the X-ray photo if the brain has a tumor or not.
Cats-and-dogs-image-classification
This is an image classification of cats and dogs, by support vector machine and KNN.
Classification-API
AL-SayedHamdy's Repositories
AL-SayedHamdy/Nashville-Housing-Data-Analysis-Using-SQL-Server
Comprehensive Data Cleaning and Preparation of Nashville Housing Data Utilizing SQL Server. This project involves identifying and addressing data quality issues, ensuring data consistency, and transforming raw data into a suitable format for further analysis.
AL-SayedHamdy/uber-trips-data-cleaning
This notebook provides a detailed explanation of the techniques used to clean raw data, including handling missing values, correcting inconsistencies, and transforming data for analysis.
AL-SayedHamdy/AL-SayedHamdy
AL-SayedHamdy/Data-Analysts-Survey-Using-Power-BI
In our data analysis project, we conducted a comprehensive survey targeting experienced data analysts. The insights gleaned from this survey informed our data visualization efforts, allowing us to gain a deeper understanding of various aspects related to data careers.
AL-SayedHamdy/Airbnb-Data-Analysis-Using-Tableau
This is a data analysis project using Tableau, focusing on analyzing Airbnb room prices. The goal is to understand what factors influence room prices and identify the most profitable times of the year.
AL-SayedHamdy/Bike-Buyers-Data-Analysis-Using-Excel
Utilizing solely Microsoft Excel for this project enables a comprehensive analysis of the bicycle market and elucidates the interrelations within this business sector.
AL-SayedHamdy/Covid-Data-Analysis-Using-SQL-Server
A comprehensive exploration of COVID-19 data using SQL Server. This project involves data cleaning, analysis, and visualization to uncover trends, patterns, and insights related to the pandemic.
AL-SayedHamdy/Philippines-Dengue-Cases-data-analysis
This document presents an Exploratory Data Analysis (EDA) focused on dengue fever cases in the Philippines, offering insights and trends derived from the dataset.
AL-SayedHamdy/The-Sparks-Foundation
I will share my Sparks Foundation internship's tasks in this repository
AL-SayedHamdy/Text-clustering-and-feature-engineering
Some playing with Indiegogo text data set
AL-SayedHamdy/Disaster-Tweets
Twitter has become an important communication channel in times of emergency. The ubiquitousness of smartphones enables people to announce an emergency they’re observing in real-time. Because of this, more agencies are interested in programatically monitoring Twitter (i.e. disaster relief organizations and news agencies).
AL-SayedHamdy/House-pricing
This is a notebook of prediction and analysis of house pricing problems.
AL-SayedHamdy/Suity
Clothes recommender system
AL-SayedHamdy/Spaceship-Titanic
Analysis and prediction for a spaceship called Titanic to figure out if the passengers had already transformed to the destination or not.
AL-SayedHamdy/Brain-tumor-classification
It's a Brain tumor classification which working with the convolutional neural networks (CNN) it's can start to predict from the X-ray photo if the brain has a tumor or not.
AL-SayedHamdy/Classification-API
AL-SayedHamdy/Cats-and-dogs-image-classification
This is an image classification of cats and dogs, by support vector machine and KNN.
AL-SayedHamdy/Fake-news-detection
This NLP model is detecting the fake news and the true news, that can be so useful in the middle of all things we are living these days. I used in this model some tools like the count vectorizer and TF-IDF. This model has so good accuracy that reaches 94% correction.
AL-SayedHamdy/The-prediction-of-the-stoc-marchet-for-Netflix
It's just a small machine learning project trying to predict the stock for the Netflix company. By the decision tree classifier and the linear way.
AL-SayedHamdy/Credit-card-fraud-detection
Credit Card Fraud Detection: Credit card companies should detect fraudulent credit card purchases so that consumers are not charged for products they have not purchased. However it is an exceedingly difficult task as there could be only 1000 cases of fraud in over a million transactions, representing a mere 0.1 percent of the dataset, resulting in highly imbalanced datasets. When trained with imbalanced datasets, the ML algorithms are very likely to create inaccurate classifiers as they appear to show a preference towards the majority class, treating the minority class as a noise in the dataset. Also because of the "accuracy" class imbalance.
AL-SayedHamdy/Mushrooms_classification
It's a training on artificial neural networks (ANN) I'm training my model to learn how to classify between the eatable and poisoned mushrooms, I used Keras library and Dense algorithm to learn the model