Amine Agrane's repositories
dog_breed_classification
This project is a multi-class image classification. I have used TensorFlow `mobilenet_v2_130_224` (https://tfhub.dev/google/imagenet/mobilenet_v2_130_224/classification/4) to build and train a Neural Network that will classify dog breed from images passed as input.
finite-state-automaton-library
The aim of this project is to design and implement a library allowing to generate and represent finite state machine also know as finite automaton. The library will also implement algorithms to perform operations that are specific to finite state automaton : Determination, Minimization, Complementary, Elimination of ***ε*** transitions, etc
16bit_CPU
16-bit CPU written in VHDL
coursera-regression-model-project
Coursera Regression Models Course Project
data_integration_from_various_sources
This project implement a simple mediator in java that will integrate and merge different sources of data in the field of cinema.
French-Word-Embeddings
French word embeddings from series sub-titles
mastermind_human_vs_machine
Simple Mastermind game usable in console mode.
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
data_science_for_all
Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
datasharing
The Leek group guide to data sharing
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
Floyd_Steinberg
Réduction du nombre de couleurs utilisé dans une image par application de L'algorithme de Floyd-Steinberg.
ml-basics
Exercise notebooks for Machine Learning modules on Microsoft Learn
mslearn-dp100
Lab files for Azure Machine Learning exercises
Os-file-system
OS Project : Simple file manager that uses a simulated partition (UNIX file) as support to store files and directories.
Parsr
Transforms PDF, Documents and Images into Enriched Structured Data
python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
spark-streaming-twitter
Building pipeline to process the real-time data using Spark and Mongodb.
textsplit
Segment documents into coherent parts using word embeddings.
wargame_alpha_beta_pruning
The goal of this project is to create a simplified version of "wargame" to be played by 2 players and to implement a low-level artificial intelligence, so that it can play a game and compete with a human player. The Minimax algorithm is then implemented and optimized with the alpha/beta pruning.
Web-Scraping-and-Topics-Modeling-Android-AppStore
This project consists in performing a Topics Modeling as well as a sentiment analysis on user opinions of Android applications. Data is extracted using Web Scrapping from the Google Play Store.
wine_quality_datamining_project
We build a machine learning model to predict if a wine is considered as good or not. The model takes as input some wine characteristics (alcohol content, acidity, etc), and then describes the quality of the wine as (“Good” or “Bad”). We starts with decision tree and then use Random Forest to improve our classification scores.