MARBOUH OUMAIMA's repositories
2021-assignment-sklearn
Assignment 3 for the DataCamp course X-DataScience Master - scikit-learn API
2021-assignment-pandas
Assignment 2 for the DataCamp course X-DataScience Master - pandas
2021-assignment-numpy
Assignment 1 for the DataCamp course X-DataScience Master
Deep_Learning
Deep Learning Course Labs
datacamp-master
Datacamp class for master student - 1 week
MCMC-project
This repo implements Robert, Wu, Stoehr, CP Robert - 2019 (https://arxiv.org/abs/1810.04449) algorithms eHMC and prHMC
Computer_Vision
Computer vision Labs
ALTEGRAD
Labs for altegrad Course IP PARIS
geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium
Satellite_Imagery_Analysis
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
World-University-Rankings-Evaluation
The Times Higher Education World University Ranking is widely regarded as one of the most influential and widely observed university measures. Founded in the United Kingdom in 2010, it has been criticized for its commercialization and for undermining non-English-instructing institutions. The Academic Ranking of World Universities, also known as the Shanghai Ranking, is an equally influential ranking. It was founded in China in 2003 and has been criticized for focusing on raw research power and for undermining humanities and quality of instruction. The Center for World University Rankings, is a less well know listing that comes from Saudi Arabia, it was founded in 2012. This project was destined to verify the criticism of each classification system and the factors that are based on.
ALTEGRAD-challenge-Fall-2020-H-index-Prediction
Predicting the academic success using multi-faceted data and limited supervision.
crop_yield_prediction
Crop Yield Prediction with Deep Learning
emines_ts
Times series analysis
DataCampChallenge-AI-for-Meter-Detection
Meter Detection
github-slideshow
A robot powered training repository :robot:
Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
Data-Science-Portfolio
This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, and Machine Learning.
deep-transfer-learning-crop-prediction
Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.