Pinned Repositories
2017-slides
Slides and talk assets from PyCon 2017
altair-tutorial
Notebooks for the Altair tutorial
Automatic_Portfolio_Optimization
A pipeline to optimize a portfolio of assets and test it against unseen data.
beg-css3
Source code for 'Beginning CSS3' by David Powers
books
Source code for 100+ books, kept here for quick reference
CS221_Notes
All of the lecture notes from CS221: Artificial Intelligence
CSE332
CSE 332: Data Abstractions (taught by Ruth E. Anderson)
dash-oil-and-gas-demo
Dash Demo App - New York Oil and Gas
Decline_Curve_Analysis_Tool
A DCA (Decline Curve Analysis) Tool for Petroleum Engineers.
petrolpy
Open source petroleum engineering projects, useful scripts, functions, and jupyter notebooks
rashidwadani's Repositories
rashidwadani/Decline_Curve_Analysis_Tool
A DCA (Decline Curve Analysis) Tool for Petroleum Engineers.
rashidwadani/petrolpy
Open source petroleum engineering projects, useful scripts, functions, and jupyter notebooks
rashidwadani/dash-oil-and-gas-demo
Dash Demo App - New York Oil and Gas
rashidwadani/Automatic_Portfolio_Optimization
A pipeline to optimize a portfolio of assets and test it against unseen data.
rashidwadani/books
Source code for 100+ books, kept here for quick reference
rashidwadani/dash-financial-report
rashidwadani/data-science-complete-tutorial
Notebooks to learn data science - Videos https://www.edyoda.com/course/1416
rashidwadani/Data-Science-Mindset
Resources for Data Science and ML
rashidwadani/datacamp-community-tutorials
Tutorials for DataCamp (www.datacamp.com)
rashidwadani/Ensemble-Machine-Learning-Cookbook
Ensemble Machine Learning Cookbook, published by Packt
rashidwadani/example-code
Example code for the book Fluent Python
rashidwadani/Force-2020-Machine-Learning-competition
the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.
rashidwadani/formation-evaluation
Python utility for formation evaluation and petrophysical analysis support
rashidwadani/geophysical_notes
Collection of geophysical notes in the form of IPython/Jupyter notebooks.
rashidwadani/medium_articles
Scripts used for articles published on Medium
rashidwadani/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
rashidwadani/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
rashidwadani/mongodb-quickstart-course
Course demos and handout material for Talk Python's MongoDB Quickstart course
rashidwadani/Oil-Price-Modeling-with-Machine-Learning-Methods
Construct workable datasets from web data and applied various machine learning methods to predict future oil price
rashidwadani/PA-Oil-and-Gas-Waste-Analysis
Oil and gas production has skyrocketed in Pennsylvania in the past decade as a result of improved techniques with horizontal drilling and hydraulic fracturing. This analysis will look at the waste produced by these wells and how that waste is handled.
rashidwadani/Plotly-Dashboards-with-Dash
This is the repo for the Udemy Course Python Dashboards with Plotly's Dash
rashidwadani/py
Repository to store sample python programs for python learning
rashidwadani/python
Exercism exercises in Python.
rashidwadani/reservoir-engineering
Python worked examples and problems from Reservoir Engineering textbooks (Brian Towler SPE Textbook Vol. 8, etc.)
rashidwadani/rock_paper_scissors
Rock paper scissors game in python
rashidwadani/scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
rashidwadani/scipy-japan-2019
NumPy tutorial given at SciPy Japan 2019
rashidwadani/stat479-deep-learning-ss19
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
rashidwadani/striplog
Lithology and stratigraphic logs for wells or outcrop.
rashidwadani/The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book