memazouni Goto Github PK

cordentity

This project combines Hyperledger's Indy ledger for decentralized identity with the Corda platform

cordentity-poc-supply-chain

A proof of concept for cordentity

corn-yield-and-futures-price-prediction

Futures are contracts to buy and sell commodities on a future date at a specified price. Corporations can use futures to hedge against price increases and ensure access to limited goods, but accurate prediction of future commodity values is essential for avoiding unwise purchases. Corn grain poses a special challenge because future prices reflect weather-dependent supply as well as variable demand. My role is to demonstrate how past publicly-available data can be used to predict future corn futures prices.

coursera_capstone

Capstone project for IBM Data Science Professional Certificate on Coursera.

courses

Repository with all extra courses I have finished or I am doing right now!

courses-1

fast.ai Courses

courses-2

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cpython

The Python programming language

crude-oil-prices-prediction-with-lstm---europe

Crude oil price prediction using LSTM model The average daily settlement price for Brent front-month futures contracts increased by 22% from April to May, the largest percentage increase for any month since March 1999. However, even with this increase, prices remain significantly lower than the first-quarter 2020 average.

crypto-discovery-news-sentiment-analysis

Using Watson Studio to analyze the sentiment of articles about Bitcoin from Watson Discovery News

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

customer_segmentation

dagster

An orchestration platform for the development, production, and observation of data assets.

data-science--cheat-sheet

Cheat Sheets

datacamp

DataCamp data-science courses

datascience

datascienceoverview

An overview to data science

datasciencepython

Introduction to Data Science in Python

datasets

Interesting datasets

datasets-1

TFDS is a collection of datasets ready to use with TensorFlow

data_bootcamp

Materials for a course at NYU Stern using Python to study economic and financial data.

dbo

The python and R code analyzes the Invesco DB Oil Fund (DBO) ETF. This ETF is based on the value of crude oil futures contracts, which is where the DBO invests 100% of its assets.

deep-algotrading

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

deep-convolution-stock-technical-analysis

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

deep-learning-coursera

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

deep-learning-dbn-from-the-ground-up

This is a multiple file project that is part of my dissertation M.Sc Thesis. This repository contains all the background theory of Deep Belief Networks and Machine Learning theory using Artificial Neural Networks to utilize the examples.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-from-scratch

Six snippets of code that made deep learning what it is today.

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-models

Keras code and weights files for popular deep learning models.