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Mohamed Kouhou's Projects

aicomputervision icon aicomputervision

This project contains various computer vision and AI related python scripts

app-ideas icon app-ideas

A Collection of application ideas which can be used to improve your coding skills.

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

bda-project-fma-a-dataset-for-music-analysis icon bda-project-fma-a-dataset-for-music-analysis

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.

capm-analysis-app icon capm-analysis-app

This Streamlit web application implements the Capital Asset Pricing Model (CAPM) for stock market analysis, focusing on French stocks from the CAC 40 index

ccf-pyspark icon ccf-pyspark

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)

customer-survival-analysis-and-churn-prediction icon customer-survival-analysis-and-churn-prediction

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.

explore-kafka icon explore-kafka

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.

hacker101 icon hacker101

Source code for Hacker101.com - a free online web and mobile security class.

handson-ml2 icon handson-ml2

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.

hedge-fund-stock-market-analysis icon hedge-fund-stock-market-analysis

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.

jekyll-theme-chirpy icon jekyll-theme-chirpy

A minimal, sidebar, responsive web design Jekyll theme that focuses on text presentation.

learning icon learning

Becoming better at data science every day

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