Atashnezhad

DrillBitVision

This repository contains code for training a convolutional neural network (CNN) model to classify images.

Drilling_AI_Platform_GUI

A GUI for drilling simulation platform powered by AI in geothermal wells.

Fraud_Detection_Pyspark

In this project, the ML algorithm should detect the fraud clicks, taking the click time, IP address, app_id, etc into account. The provided data is very unbalanced with less than 1% fraud clicks.

LSTM-for-Coronal-Mass-Ejection-Speed-Forecast

Lung_Disease_Detection_Deeplearning

Deep learning for covid 19 detection.

Machine-learning-to-develop-PDC-ROP-model

Symbolic Regression is used for developing ROP model.

Natural_language_processing_Project

This is an NLP two-class classification project.

Petroleum_Engineering

Codes related to petroleum and drilling engineering projects.

Realtime_BitGrading_App

Bit Grade App for realtime estimation (BE).

ROP-Modeling

This is an educational website for drilling ROP modeling.

Atashnezhad/Drilling_AI_Platform_GUI

A GUI for drilling simulation platform powered by AI in geothermal wells.

Atashnezhad/Fraud_Detection_Pyspark

In this project, the ML algorithm should detect the fraud clicks, taking the click time, IP address, app_id, etc into account. The provided data is very unbalanced with less than 1% fraud clicks.

Atashnezhad/Machine-learning-to-develop-PDC-ROP-model

Symbolic Regression is used for developing ROP model.

Atashnezhad/ROP-Modeling

This is an educational website for drilling ROP modeling.

Atashnezhad/DrillBitVision

This repository contains code for training a convolutional neural network (CNN) model to classify images.

Atashnezhad/Lung_Disease_Detection_Deeplearning

Deep learning for covid 19 detection.

Atashnezhad/Realtime_BitGrading_App

Bit Grade App for realtime estimation (BE).

Atashnezhad/A_Data_Science_Project

A two class classification data science project with 100 features.

Atashnezhad/EC2Runner

A toolkit for automating EC2 instance provisioning, repository cloning, code execution, task performance, result storage, and termination.

Atashnezhad/ICME_Speed_Forecast

Coronal Mass Ejection Speed Prediction. A time-series project.

Atashnezhad/LSTM-for-Coronal-Mass-Ejection-Speed-Forecast

Atashnezhad/Natural_language_processing_Project

This is an NLP two-class classification project.

Atashnezhad/Amin-Atashnezhad

Here I provided my data science projects.

Atashnezhad/AzureUp

Atashnezhad/DataScience

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

Atashnezhad/deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

Atashnezhad/devops-directive-docker-course

Companion repo for complete Docker course

Atashnezhad/Frauds-Detection-Project

Fraud risk is everywhere, but for companies that advertise online, click fraud can happen at an overwhelming volume, resulting in misleading click data and wasted money.

Atashnezhad/GUIApp

Atashnezhad/hpht

Atashnezhad/InterFacialFriction

Incorporating the Interfacial friction Angle into full bit modeling

Atashnezhad/iscwsa

Atashnezhad/ml_pipeline

Atashnezhad/MyFuncApp

Atashnezhad/pipeline

Atashnezhad/python-docker

Atashnezhad/SAS_prac

SAS practice codes

Atashnezhad/Weather_Prediction_Project

This is a time series project. I applied Autoregressive, Autoregressive integrated moving average, and LSTM methods for temperature estimation.

Atashnezhad/WeatherApp

Atashnezhad/Web-Scraping