Machine Learning Basics | Sanduni Jayasundara, Machine Learning Engineer

In the rapidly evolving landscape of technology, machine learning stands out as a revolutionary force driving innovation and efficiency across various sectors. This workshop, titled "Machine Learning Basics," is designed to offer a comprehensive introduction to the core concepts and techniques of making predictions by using machine learning algorithms. Participants will embark on an explorative journey into the world of machine learning, gaining insights into how machines can learn from data to make decisions and predictions. "Machine Learning Basics" is not just a workshop; it's a gateway to the future of technology. Participants will leave with a solid foundation in machine learning principles, equipped with the knowledge and skills to explore more advanced topics or start applying machine learning in their fields of interest. This workshop was conducted by Sanduni Jayasundara Slides for this workshop: https://drive.google.com/file/d/1TDNRNpJ22K10QrREgktiAnP4hpedvSqh/view?usp=share_link Colab Notebook Link: https://colab.research.google.com/drive/1kcTWWVXLRYdfnrpwP4C6CgOPEwarkyRJ#scrollTo=Bh-wxujApO9k Link for the stroke dataset for the practical session: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset Learn more about WiDS Workshops: https://www.widsworldwide.org/learn/upskill-workshops/ #ai #algorithms #datathon #Datathon2024 #datascience #machinelearning #kaggle #googlecolab #wids #womenindata

Data Preprocessing and Transformation in Machine Learning | Kelly Hoang, Gilead Sciences

In the realm of machine learning, the quality of data directly influences the performance and accuracy of models. The process of data preprocessing and transformation plays a pivotal role in shaping raw data into a format suitable for effective machine learning algorithms. Using real world data set from the WiDS Datathon 2024 challenge, this workshop aims to delve into the fundamental concepts and demonstrates different techniques of data preprocessing and transformation for machine learning tasks. Participants will be introduced to an overview of data preprocessing, including data cleaning, handling missing values, feature scaling, and feature engineering. Through hands-on exercises and practical examples, attendees will gain knowledge in utilizing popular Python libraries such as Pandas, NumPy, and Scikit-learn to preprocess and transform real-world data effectively. Link to slides for this workshop: https://drive.google.com/file/d/1Z2GXGTnqsOZHVRGWXo4lprxNVwypHWaU/view?usp=sharing Google Colab Notebook for this workshop: https://colab.research.google.com/drive/1eOfF-lmK7l-sJAnKHmWyBdC3LloCizBE?usp=sharing 0:00 Introduction 1:27 Kelly's Workshop 46:14 Q&A 1:02:05 Closing Learn more about WiDS Workshops: https://www.widsworldwide.org/learn/upskill-workshops/ #GileadSciences #WiDSDatathon2024 #Datathon #DataWrangling #handson #ai #machinelearning #Python #SkillSets # NLP #tutorial #howto #wids #womenindata #widsworkshops #womenindatascience #datascience #widsworldwide