10 tips to deal with Impostor Syndrome in Data Science. A Data Scientist, Junior ML engineer, and a Ph.D. in Physics share their experiences.
Imagine an open-source Python library, which allows you to build, within days, an end-to-end data science pipeline that is ready for production! Additionally, the library is not just a codebase but also a knowledge source helping in every stage of development while solving some of the world´s most challenging problems.
A predictive modeling approach from web scraping, data preparation and dataset building to an easy-to-use app deployment to identify best startups investment strategies.
Data Science pipelines are a collaborative work of a big team of data scientists, machine learning engineers, and data analysts. Such teams require good leadership and project management skills. Product owners/Project managers in Omdena add a wide range of management skills to their careers by organizing and directing the completion of the projects while ensuring these projects are on time, with quality, and within scope.
Join now and contribute to the World’s biggest AI4Good Python library for real-world projects with collaborators from around the world
Our mission is to empower learners of Machine Learning and Artificial Intelligence while removing the financial and geographic barriers.
Deep Learning model to increase the resolution of drone captured images with Super-Resolution methods of Bi-cubic and Bi-linear interpolation
Omdena´s AI startup incubator program equips 50 impact-driven startups with cutting-edge AI models and products within eight weeks.
How to use data visualization and advanced EDA (Exploratory Data Analysis) to plot car crashes data around the hour
Assessing the flood risk using Analytical Hierarchy Process model and ML in Togo to help identify the area risk with floods
From online courses to AI challenges at Omdena, to Google. Samir Sheriff shares his tips for getting a software engineer job at Google.
Improving the data annotation process to enhance Post Traumatic Stress Disorder (PTSD) risk assessment.
Applying Machine Learning to dynamically assess vegetation health changes before and after desert locust attacks.
A company that integrates collaboration to build AI solutions is more effective at designing a use case, overcoming data challenges, and building deployable and ethical AI.
Imposter can destroy your (data science) career but it can also be a big strength if you harness the power of introspection and healthy self-knowledge.
Seven steps to prepare a dataset for agricultural purposes and applications like crop yield estimation by using satellite imagery and their indices.
Using GEE images and Jupyter to build an app for crop yield prediction in Senegal, Africa, and improve agriculture and food security in the country.
Smart Data Labelling with Machine Leaning (supervised machine learning) using Active Learning algorithm and Web Scraping
A predictive impact analytics model for quantifying the impact of making an investment in AI for Forest Landscape Restoration projects.
Investigating Online Violence against Children (OVAC) through Natural Language Processing by analyzing news articles and collecting data.
Applying Natural Language Processing in an agile AI project to investigate Online Violence against Children. Hosted by Save the Children.
Using Natural Language Processing to warn children against online predators. The project has been hosted by Save the Children.
In the world of scary-looking datasets and low classification accuracy, what does it take for a data scientist to stay calm and happy?
Machine Learning solution to provide a safe and fast route planning for families to evacuate after an earthquake in the Los Angeles area.
Using Machine Learning-driven frameworks to equirectangular projections, and object detection steps to detect vehicles in traffic images
Omdena is the collaborative platform to build innovative, ethical, and efficient AI and Data Science solutions to real-world problems.
