bysarmad Goto Github PK

a-tour-of-oil-industry-ml

Machine Learning to predict share prices in the Oil & Gas Industry. In a nutshell, this is a quick introduction to understand the potential of data science and machine learning used in the oil industry. I have chosen to work with the stock price of a few oil companies (or oil service company) and the oil price data set as an example.

advancewellplanning

All projects with code related to the advance well planning in oil and gas industry.

bysarmad

Config files for my GitHub profile.

bysarmad.github.io

This is code for my personal website. I created this website on Bootstrap, and the then pushed the website code to remote repository using VS Code.

colabcodeserver

This is a guide to run the Visual Studio IDE as code server.

covid-19-eda-tutorial

This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.

data-engineering

All Data Engineering Notebooks from DataCamp Course (Python)

detectoutliers

Some datasets that will be used for training or testing your model contain outliers. Since these outliers have a low probability of appearing in real world data, they will give you a bad model or wrong test results. In order to prevent this, you can detect and then remove these outliers via the Isolation Forest method.

exceptional-reality

This is an example site for the Intro to Front-End Web Development course at the Flatiron School.

fuzzytopsissoftware

Fuzzy TOPSIS software for well completion design.

imageloadingandprocessing

Load, transform, and understand images of honey bees and bumble bees in Python.

kmeancluster

K-mean Cluster. This template helps you identify and visualize clusters in your data. The K Means algorithm aims to assign the data points in your dataset to K distinct clusters. After running the algorithm each observation (data point) will belong to the cluster whose center it is closest to.

likertscalevisualization

Creating and running a survey is only half the work - now you have to analyze the results! The Likert scale is one of the most common scales used in surveys across industries. This template conveniently converts Likert scale survey results into one easy-to-read visualization to summarize your survey results nicely. Your data must meet these requirements for this template: The first column must contain the questions or statements of your survey. The second to fifth columns represent the percentage of respondents that selected "Strongly agree", "Agree", "Neutral", "Disagree", "Strongly disagree", respectively, for each question. The order of the columns matters and percentage symbols shouldn't be included. Each row should add up to 100.

mlfscore

networkanalysis

nlptofindsimilarity

Find Movie Similarity from Plot Summaries.

omae

petrodc

Petroleum Data Collector

predictionfromimages

Build a model that can automatically detect honey bees and bumble bees in images.

pwptemp

pwptemp

regex

Quickly parse a text file of your choosing and extract all emails and phone numbers with regular expressions. A regular expression (regex) is a sequence of characters that specifies a search pattern. These patterns are useful for input validation and "find" or "find and replace" operations on strings

sankeydiagram

sunburstchart

This template lets you visualize a user's journey through a product using a sunburst chart. A sunburst chart visualizes hierarchical data spanning outwards radially from root to leaves. The sunburst sector hierarchy is determined by the path taken. The root starts from the center and children are added to the outer rings.

tekna-workshop-predictivemaintenance

torque_drag

Torque and drag calculations

volvedataexploration

Data Exploration for Volve Field.

web-gui-development

Integrated web application for the OpenLab Drilling Simulator, the purpose is to create new configurations based on actual well data extracted from the Volve dataset (disclosed by Equinor).

well-data-management-and-visualization

Browser-based application for well data management and visualization.

well_profile

The python tool for well trajectories

wordcloud

Create a Word Cloud to visualize the most frequent words in a text file. Word Clouds are also known as Tag Clouds and are a useful tool for initial visual exploration of text data in any NLP project. Word Clouds are typically used to depict keyword metadata on websites, or to visualize free form text. Important words are highlighted with a bigger font or stronger color.