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Name: Derek Egenti
Type: User
Bio: Geophysicist and Data Science MSc graduate working on innovative applications of Earth Sciences, Data Science, and Machine Learning.
Location: United Kingdom
Name: Derek Egenti
Type: User
Bio: Geophysicist and Data Science MSc graduate working on innovative applications of Earth Sciences, Data Science, and Machine Learning.
Location: United Kingdom
Automation with Python (Excel, scripts, etc)
This is a step by step basic data analysis process, highlighting all the important tasks to be carried out.
A project showcasing the various steps involved in carrying out a basic linear regression task for prediction of a target variable.
Python implementations in geophysical methods: seismic and gravity
A deep-dive on the entire history of deep-learning
the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.
These are python notebooks accompanying Lessons available at GeostatisticsLessons.com
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
A deep learning model employing linear regression to uncover intricate patterns and relationships within data, enabling accurate predictions and precise estimation. Harnessing the power of neural networks, it maximizes the potential of linear regression for enhanced performance and advanced modeling.
A list of machine leaarning tasks carried out in a set of series spread across 3 Colab Notebooks
Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).
Prediction This repository contains the code and datasets for analyzing and predicting fuel prices, specifically Brent Oil, Crude Oil, Natural Gas, and Heating Oil. The project focuses on creating models to predict the closing prices of these fuels based on their opening, highest, and lowest prices.
A basic comparison of different statistical methods for data understanding and exploration.
Build an interactive web app with streamlit and scikit-learn
Compare two versions of a table to find differences between them. The compared tables should be saved as CSV files.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.