Doaa Ahmed's repositories
Hybrid-Model-for-stock-Price-Predictin
Master Project
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
DataCamp_Data-Scientist-with-Python
DataCamp_Data Scientist with Python
deeplearning-timeseries
Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
Finding-donors-classifier
Supervised learning classifier that classify people based on their income, Understanding an individual's income can help a non-profit better understand how large of a donation to request, or whether or not they should reach out to begin with.
Price-Forecaster
Forecasting the future prices of BTC and More using Machine and Deep Learning Models
pythoncode-tutorials
The Python Code Tutorials
Singularity-Data-Science
Data Science Course Materials
stock-price-prediction
Jupyter notebook for predicting the top 5 most negotiated stocks at Brazilian stock exchange
Stock-price-prediction-using-GAN
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.
Stock-Price-Predictor
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
User-Classification
The aim is to predict whether students would upgrade their free plan to a paid one.