Mobilise-D ’s Post

We are excited to announce that the "Mobilise-D Analysis Pipeline and Algorithms in Python" webinar is now Available on YouTube! In our recent webinar, we showcased the newly re-implemented and open-sourced Mobilise-D algorithms in Python. This webinar provides a unique opportunity to learn how to run and deploy the Mobilise-D analysis pipeline on any PC using your custom data. Webinar Highlights:  🟢 Speaker: Arne Küderle (Kuederle), expert in Mobilise-D algorithms and a PhD Candidate at Machine Learning and Data Analytics Lab, FAU Erlangen-Nürnberg  🟢 Overview of the New Library: Understand the full capabilities of the re-implemented algorithms.  🟢 Data Processing: Learn how to process data using the full pipeline or individual algorithms.  🟢 Advanced Use Cases: Discover advanced tooling for finetuning and evaluating implemented and custom algorithms. Whether you’re a developer, data scientist, or researcher, this webinar provides invaluable insights and practical knowledge to leverage the Mobilise-D analysis pipeline effectively. Want to test it? Access it here: https://lnkd.in/gdUC_8A5 #Mobgap #MobiliseD #AnalysisPipeline #Algorithms #Python #Webinar Innovative Health Initiative (IHI) EFPIA - European Federation of Pharmaceutical Industries and Associations

Introducing 𝐓𝐚𝐢𝐩𝐲, an open-source Python library that streamlines the process of turning data and AI algorithms into production-ready applications. It goes the extra mile with smart pipeline management, what-if analysis, and a built-in scheduler. You don't need to be a rocket scientist to use it. With just basic Python knowledge, Taipy can help you build robust applications, handling the heavy lifting so you can focus on what truly matters. ✔️Support great 𝐨𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜𝐞 tools by giving a star to Taipy: https://bit.ly/3TEaCqx #python #datascience #opensource #artificialintellegence

🚀 Project Completed: YouTube Trending Videos Analysis with Python 🎉 Excited to share that I’ve successfully completed a new data analysis project, diving into the world of YouTube trending videos! 📊 For this project, I utilized the USvideos.csv dataset to explore trends, popular categories, and key insights using Python. Analyzing the patterns of video virality was a great learning experience, and I got to apply my skills in data manipulation, visualization, and interpretation. 💡 Key Learnings: Data cleaning and preprocessing Visualizing trends and categories Analyzing viewer behavior Looking forward to applying these insights to future projects! 🔥 #Python #DataAnalysis #YouTube #MachineLearning #ArtificialIntelligence #Kaggle #DataScience #GDSC #MSP

Which Python IDE(s) do you use for your engineering projects? Spyder, an open-source scientific environment, is what we're using. It is aimed at scientists, engineers, and data analysts. We use it for data analysis for the SETO Project and predictive modelling for ReNEW. For more information on Python in engineering, we recommend Dr Seán Carroll's DegreeTutors courses and James O'Reilly's FLOCODE newsletter. #renew #SETOProject #python #civilengineering #research E. Alexandra Micu

🎉 Excited to share my recent achievement! 🚀 Just completed a 3-day Machine Learning using Python workshop, where I had the incredible opportunity to delve into the world of predictive transformer health monitoring systems. 🤖💻 During the workshop, I gained hands-on experience working with Python and its libraries to build predictive models for transformer health monitoring, which is crucial in ensuring reliable power distribution. Huge thanks to Dr. Rohit Singh for providing such a comprehensive and enriching learning experience! and Alok Kumar Jha for remarkable training during the workshop 🙌 #MachineLearning #Python #PredictiveMaintenance #Transformers #DataScience #ContinuousLearning

🚀 Exciting News: Completed the "Exploratory Date Analysis with Python Libraries" module! 📊 🐍 Thrilled to announce the successful completion of the "Exploratory Date Analysis with Python Libraries" course under the guidencemof an exceptional trainer Nagaraju Ekkirala. 🎉 💻 Innomatics Research Labs 🔍 What l've Learned: Mastered data exploration using Python's Pandas, NumPy, Matplotlib, and seaborn. From cleaning to visualization, I now wield the tools for robust data analysis. Expert in data cleaning and preprocessing. Efficient data manipulation with pandas. Numerical operations and array manipulatlib and NumPy. Crafting insightful visualization with Matplotlib and seaborn. #DataAnalysis #python #innomotics #ExploratoryDataAnalysis #DataScience #DataVisualization

🌳 New YouTube Tutorial: Modeling AGBD Using GEDI, Sentinel-2, and Machine Learning: An Introductory Guide with Python! 🌳 I am excited to share my latest YouTube tutorial, in which I explore using Earth Observation datasets and machine learning techniques to model aboveground biomass density (AGBD). This guide walks you through the process using Google Earth Engine and Python in Google Colab, making it accessible to anyone interested in remote sensing and environmental monitoring. 🔍 What you will learn:    How to access and preprocess EO datasets.    Step-by-step implementation of machine learning models for AGBD. Whether you are a beginner or a seasoned professional, this tutorial offers valuable insights and hands-on experience in geospatial analysis. 👉 Watch the tutorial here: https://lnkd.in/dcZKCtB7 Feel free to share your thoughts and questions in the comments. Happy coding and learning! #Geospatial #MachineLearning #EarthObservation #RemoteSensing #DataScience #Python #GoogleEarthEngine #LinkedInLearning

"#Task1: Titanic survival prediction 🚀🚀🚀 check this at: 🔗https://lnkd.in/gjMfPB87 Excited to share my latest data science project on Titanic survival prediction using Python! 🚢🔍by codsoft . *Data science, a captivating field, involves extracting insights from data through analysis, modeling, and predictions. *Python, a versatile programming language, played a pivotal role in this project, enabling me to manipulate data, create powerful algorithms, and visualize results effectively. The process of exploring the Titanic dataset, building predictive models, and uncovering survival patterns was a blend of challenge and fulfillment. Eager to delve deeper into the endless possibilities of data science with Python! #DataScience #TitanicSurvivalPrediction #Python #MachineLearning #Codsoft CodSoft *

Task-1:Titanic survival prediction 🚀 I am so excited 🎉 to share my latest data science project on Titanic survival prediction using python by CodSoft. *Data science, a captivating field, involves extracting insights from data through analysis,modeling,and prediction. *Python, a versatile programming language,played a pivotal role in this project. check this at: 🔗 https://lnkd.in/eE5G6YMB #CodSoft #Datascience #Python #TitanicSurvivalPrediction *CodSoft

🚀 Leveling Up My Skills! I'm excited to share my experience with Code Signal where I've completed modules on hashing, dictionaries, and sets as part of my journey to mastering algorithms and data structures in Python! This learning experience has equipped me with: 🔹 Efficient use of hash tables for fast lookups 🔹 Mastery of dictionaries to manage structured data 🔹 Leveraging sets for optimized operations like intersections and unions These concepts are essential for building optimized solutions and tackling heavy data challenges. I look forward to applying sharing and applying these skills in future projects and continuing my path in algorithmic problem-solving! 🚀 #Python #Algorithms #DataStructures #Efficiency