nabanitagupta's repositories
Machine-Predict-Lithologies-Using-Wireline-logs
To identify lithologies, geoscientists use subsurface data such as wireline logs and petrophysical data. However, this process is often tedious, repetitive, and time-consuming. This project aims to use machine learning techniques to predict lithology from petrophysical logs, which are direct indicators of lithology.
bikesharing
Tableau Visualization
Air-Pollution-Image-Dataset-From-India-and-Nepal
Air Pollution Image Dataset from India and Nepal
Cryptocurrencies
Module18-Unsupervised
DeepLearningWithPyTorch-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Election_Analysis
Python
Facies-Visualization-and-Classification
A Deep Learning based Artificial Neural Network to classify Facies.
Lithofacies-classification-using-machine-learning_Zhao
Supervised classification to predict rock facies and a T-test flow to evaluate the prediction performance.
log-reader
Node.js application for parsing, viewing and make calculations on .las files
machine-predicted-lithology
FORCE Competition : Create a machine learning model that has the highest accuracy in prediction lithology from a suite of wireline logs
petrodc
Petroleum Data Collector
ReadMe
Initiating Repository with ReadMe
School_District_Analysis
Anaconda and Jupyter
School_District_Analysis_2
Python and Jupyter
Textual_Analysis
This program asks user to input a tweet, and then count the #Number of words, #Average number of characters, #Number of upper and lower case letters