Amin's repositories
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.
Machine-learning-to-develop-PDC-ROP-model
Symbolic Regression is used for developing ROP model.
ROP-Modeling
This is an educational website for drilling ROP modeling.
DrillBitVision
This repository contains code for training a convolutional neural network (CNN) model to classify images.
Lung_Disease_Detection_Deeplearning
Deep learning for covid 19 detection.
Realtime_BitGrading_App
Bit Grade App for realtime estimation (BE).
A_Data_Science_Project
A two class classification data science project with 100 features.
ICME_Speed_Forecast
Coronal Mass Ejection Speed Prediction. A time-series project.
Natural_language_processing_Project
This is an NLP two-class classification project.
Amin-Atashnezhad
Here I provided my data science projects.
DataScience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
devops-directive-docker-course
Companion repo for complete Docker course
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.
InterFacialFriction
Incorporating the Interfacial friction Angle into full bit modeling
Weather_Prediction_Project
This is a time series project. I applied Autoregressive, Autoregressive integrated moving average, and LSTM methods for temperature estimation.