Mohamed Kouhou's Projects
This project contains various computer vision and AI related python scripts
A Collection of application ideas which can be used to improve your coding skills.
Actively curated list of awesome BI tools. PRs welcome!
:memo: An awesome Data Science repository to learn and apply for real world problems.
List of libraries, tools and APIs for web scraping and data processing.
Scripts for music feature analysis, model training, and real-time recommendation using Apache Kafka. Extract features with Librosa, store in MongoDB, and process with Apache Spark. Web interface included. Contributors: Tashfeen Abbasi, Laiba Mazhar, Rafia Khan.
This Streamlit web application implements the Capital Asset Pricing Model (CAPM) for stock market analysis, focusing on French stocks from the CAC 40 index
Implementation of the Connected Component Finder (CCF) algorithm using PySpark, based on the paper "CCF: Fast and Scalable Connected Component Computation in MapReduce" by Kardes et al. (2014)
In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.
Interactive data analytics
Carefully curated resource links for data science in one place
Toturial coming with "data science roadmap" graphe.
Open Source Data Science Resources.
List of Data Science Cheatsheets to rule the world
This project implements an end-to-end pipeline for batch to stream processing using Kafka on Docker images. Besides that, there are exercises for a full course in Kafka.
[Example APPS] Basic Flutter apps, for flutter devs.
A library to scrap google images
Source code for Hacker101.com - a free online web and mobile security class.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices.
A minimal, sidebar, responsive web design Jekyll theme that focuses on text presentation.
Streaming fraud detection system
Becoming better at data science every day
Modeling default versus prepayment risk via logistic regression and Cox proportional hazards.
LLaMA v2 Chatbot
LLM as a Chatbot Service
This Contain Some Machine Learning Projects that I have done while understanding ML Concepts.