Subsurface Consultants & Associates, LLC (SCA)’s Post

Course Title: “Introduction to Subsurface Machine Learning” Instructor: Prof. Siddharth Misra, PhD (https://lnkd.in/gPZxTXGM) Date: August 7-8, 2024 (Houston, TX) Description: This course provides students with working knowledge on using python programming and open-source packages essential for data analytics and machine learning, and is based on live demos of codes and workflows in the Jupyter Notebook environment. Participants learn python programming at a beginner to intermediate level, and the course uses various types of data including well logs, core data, well performance data, and production data. Registration link: https://lnkd.in/ePNjTju. #subsurface #machinelearning 

Course Title: “Introduction to Subsurface Machine Learning” Instructor: Prof. Siddharth Misra, PhD (https://lnkd.in/gPZxTXGM) Date: August 7-8, 2024 (Houston, TX) Description: This course provides students with working knowledge on using python programming and open-source packages essential for data analytics and machine learning, and is based on live demos of codes and workflows in the Jupyter Notebook environment. Participants learn python programming at a beginner to intermediate level, and the course uses various types of data including well logs, core data, well performance data, and production data. Registration link: https://lnkd.in/ePNjTju. #subsurface #machinelearning 

Course Title: “Introduction to Subsurface Machine Learning” Instructor: Prof. Siddharth Misra, PhD (https://lnkd.in/gPZxTXGM) Date: August 7-8, 2024 (Houston, TX) Description: This course provides students with working knowledge on using python programming and open-source packages essential for data analytics and machine learning, and is based on live demos of codes and workflows in the Jupyter Notebook environment. Participants learn python programming at a beginner to intermediate level, and the course uses various types of data including well logs, core data, well performance data, and production data. Registration link: https://lnkd.in/ePNjTju. #subsurface #machinelearning 

Course Title: “Introduction to Subsurface Machine Learning” Instructor: Prof. Siddharth Misra, PhD (https://lnkd.in/gPZxTXGM) Date: August 13-14, 2024 (Houston, TX) Description: This two-day course provides students with working knowledge on using python programming and open-source packages essential for data analytics and machine learning, and is based on live demos of codes and workflows in the Jupyter Notebook environment. Participants learn python programming at a beginner to intermediate level, and the course uses various types of data including well logs, core data, well performance data, and production data. Registration link: https://lnkd.in/ePNjTju. #subsurface #machinelearning 

Day 56 of 100 Days of Code: NumPy Array Indexing 🔧 Today's Progress: Continued exploring NumPy in my Python Data Analysis course, specifically focusing on indexing arrays. Worked with techniques of accessing and manipulating specific elements, slices, and subsets of data within NumPy arrays, which is crucial for efficient data manipulation in scientific computing. 💡 Thoughts: Understanding how to index arrays effectively is essential for optimizing data analysis tasks. These skills allow for precise control over data, enabling complex operations on large datasets that are common in real-world scenarios. 🏷️ Hashtags #100DaysOfCode #Python

The majority of time spent developing a #machinelearning model is in data preparation. Learn to prepare and optimise your data in just one day at our online course "Data Analysis and Data Preparation for Machine Learning" on 6 September: https://lnkd.in/dNfbAkKp The training organised in cooperation with EIT Manufacturing and #ViennaScientificCluster is ideal for professionals from all domains with programming experience in Python. The participants will learn about pre-processing of data, the typical challenges and how to overcome them, and will get to know powerful Python libraries such as Pandas, NumPy, Matplotlib and Dask. Register now! Simeon Harrison | Mag. Rosina Preis, M.A. | Nihada Prnjavorac #python #pythonlibraries #itskills #programming #datascience #itcourses

"Thrilled to receive my certificate for completing a one-week Faculty Development Program at KIT College of Engineering, diving deep into the application of Python for Geospatial Technology. Explored the powerful combination of ArcGIS and Python, paving the way for cutting-edge solutions in the world of spatial analysis. Ready to apply these skills to drive innovation! 🌐🐍 #GeospatialTech #Python #ProfessionalDevelopment"

Hello connections !! In my voyage of acquiring knowledge and learning to analyse huge amounts of data using the python programming language I had participated in a webinar on Pandas named as "Pandas power : A beginner's guide to data analysis". This webinar was headed by Thiliban Manivarma Manivarma sir and it has given me great insights on the use of pandas to analyse big data in python. I am looking forward to joining more webinars on data analytics and bioinformatics from NyBerMan Bioinformatics Europe Bioinformatics in future which will help me to upskill myself for sure. #dataanalysis #python #bioinformatics #bigdataanalysis

Introducing a book A few days ago, through one of my friends #Nimaraeisi, I got acquainted with the book "Analytical Modeling of Groundwater: Theory and Applications Using Python" by Mark Bakker and Vincent Post. This useful book covers the theoretical aspects of mathematical models of groundwater. It is aimed at advanced (sub)graduate university students as well as professional hydrogeologists. The focus is on the fundamentals of quantitative methods used to simulate, understand, and investigate groundwater systems. Uniquely, it provides hands-on exercises based on the popular open-source programming language Python. The book is structured in such a way that theoretical treatments of modeling methods are exemplified by short pieces of computer code that illustrate the implementation of the theory, making the book well-suited for university courses in fundamental aspects of groundwater modeling. If you are interested in using Python to solve groundwater problems, I suggest you put this book in your favorite. #groundwater #python #analyticalmodeling

It's been a while since a got my Nanodegree in Data Analysis from Udacity, but I wanted to share this with. Through the course I learned how deal with data using Python Programming language and Jupiter notebook software by gathering, cleaning, processing, and visualizing it.