100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

adversial-game-playing-agent

alx-higher_level_programming

alx-low_level_programming

alx-pre_course

I'm now a ALX Student, this is my first repository as a full-stack engineer

alx-system_engineering-devops

alx-zero_day

I'm now a ALX Student, this is my first repository as a full-stack engineer

cross-validation

1)To compare and verify which model is better in which situation. 2) Clean the data, Hyper Tuning both models, Building function to evaluate the models, training validating the model and comparing, then applying K-fold to see the improvement. 3) It's been showed how LightGbm is faster than XGboost, however, XGboost works better with lower data than LightGbm as it trains better, and when applying K-fold it increases the accuracy more and more.

deep_learning_explorations

Codes and experiments while learning and exploring deep learning for personal curiosity by doing online courses, personal projects and work.

explore-the-universe

Nasa Space Apps Hackathon Project

fashoinmnist

A multi Classifier Model used to classify the 10 classes of the Fashion Mnist Dataset using CNN's

fraud-detection-in-electricity-and-gas-consumption

imagenet

A multi Class Classifier for Flowers Classification using Pre-Trained Model ImageNet

importance-of-the-parameters

1) The Goal was to create a Machine learning Random Forest Algorithm Regerisor. 2) I've cleaned the data from null, missing and categorical values, made it more applicable for the model. 3) choosing the model and hyper tuning it, 4) testing the importance of the parameters, then dropping the useless parameters in order to make the model more efficient. 5) The model achieved 93.3% accuracy with all parameters while achieving 93.2% after dropping all the useless and impacted a huge improvement in performance.

mazen-hassan

mazenhassan9

Config files for my GitHub profile.

monty

paint-for-kids

paint-for-kids2

payment_application

pdsnd_github

GitHub project (Project 3) repository for PDSND

printf

Printf library for C

python-sample-vscode-flask-tutorial

Sample code for the Flask tutorial in the VS Code documentation

rsa-factoring-challenge

si_ware-data-analysis-graduate-technical-task

simple_shell

Simple Shell project

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

tensorflow-in-practice-specialization

TensorFlow in Practice Specialization offered by deeplearning.ai on Coursera taught by Laurence Moroney

theriddle

vessel-rest-api

what we call a trade consist in a commercial exchange between two entities. The first one being the seller, the second one the buyer. Each of these entities are located in a country. A trade starts and ends in a country location, from and to a specific date. It involves a vessel which carry a specific commodity identified in the following tree : group -> family -> product.