oumaimamarbouh77 Goto Github PK

2021-assignment-numpy

Assignment 1 for the DataCamp course X-DataScience Master

2021-assignment-pandas

Assignment 2 for the DataCamp course X-DataScience Master - pandas

2021-assignment-sklearn

Assignment 3 for the DataCamp course X-DataScience Master - scikit-learn API

alexeydarknet

altegrad

Labs for altegrad Course IP PARIS

altegrad-challenge-fall-2020-h-index-prediction

Predicting the academic success using multi-faceted data and limited supervision.

audio-style-transfer

computer_vision

Computer vision Labs

covid_vaccine_challenge

crop_yield_prediction

Crop Yield Prediction with Deep Learning

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.

datacamp-master

Datacamp class for master student - 1 week

datacampchallenge-ai-for-meter-detection

Meter Detection

deep-transfer-learning-crop-prediction

Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.

deep_learning

Deep Learning Course Labs

emines_ts

Times series analysis

fips-codes

follicles_detection

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium

github-slideshow

A robot powered training repository :robot:

inf670e-project

m2-ds-ip-2021

mcmc-project

This repo implements Robert, Wu, Stoehr, CP Robert - 2019 (https://arxiv.org/abs/1810.04449) algorithms eHMC and prHMC

oumaimamarbouh

oumaimamarbouh77.github.io

satellite_imagery_analysis

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

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.

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.