Omdena Nigeria Chapter

Rooftops Classification and Solar Installation Acceleration using Deep Learning
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Solar energy hasn’t reached its full potential as a clean energy source for the United States yet. According to National Renewable Energy Laboratory (NREL) analysis in 2016, there are over 8 billion square meters of rooftops on which solar panels could be installed in the United States, representing over 1 terawatt of potential solar capacity.
Continue reading using the link below: https://omdena.com/blog/rooftops-classification/

Rooftops Classification and Solar Installation Acceleration using Deep Learning A walkthrough in labeling satellite imagery, image segmentation, and using deep learning models to get best rooftops classification results.

Talent wins games, but teamwork and intelligence win championships." – Michael Jordan

This webinar is targeted at discussing the required skills, dedication, and expected challenges AI enthusiasts face to develop AI solutions.

Host:
Kabirat Olayemi, Osun Nigeria Omdena Chapter Lead, is a Post Graduate Researcher (PhD.) at Federal University Oye and an Academic with over 8 years of experience working alongside other professionals and organizations. Kabirat is an enthusiast of biometrics, Pattern recognition, Information retrieval, Internet security, Recommender system, and Machine learning.

Speakers:
Opeyemi Taiwo Adeniran, Lagos Nigeria Omdena Chapter Lead, is a Data Science Professional (IBM), holds Business School Certificate (Future Female Uk-Nigeria TechHub), Project Management Professional (British Council), B.tech Computer Engineering (LAUTECH), and the founder of Favored Online Skills Acquisition Network

Juber Rahman, PhD, Bangladesh Omdena Chapter Lead, is a professional mentor and a career data scientist with a decade-long experience both in academia and industry. He is an avid organizer and led multiple RSO’s at the University of Memphis, USA.

Be our guest this Saturday at 3 PM UTC on Facebook and LinkedIn as our guest put us through how to make an impact and the skills required to make a career in AI.

Book a sit here: https://lnkd.in/eTUd3X8G

Predicting the Important Factors of a Successful Startup using SHAP Value
Imagine you already create a robust machine learning model. Then someone asks you how each input feature contributes to the model output. This condition is a common scenario where we need to explain our model. However, it can be challenging, especially with more complex machine learning models. So, how can we explain our machine learning model easily?

This project was part of the Omdena challenge, where we have an opportunity to work together with many startups. The main focus of our partners was to find a way of maximizing job and economic impact through startup investment. Hence, we were working together to achieve those goals in this project.



Problem and Objectives
In this project, we identified the two main problems where we want to focus on related to start-up investment. These are the lack of research and how we can predict the success of a startup and boost the investor confidence to start investing.
Continue reading using the link below:
https://omdena-dot-yamm-track.appspot.com/Redirect?ukey=1CthBLrVJPRWuQiuMH7cNN9K_hiKW_C9TwKcxVgLTbOw-646485473&key=YAMMID-43677902&link=https%3A%2F%2Fomdena.com%2Fblog%2Fstartup-prediction%2F

Predicting the Important Factors of a Successful Startup using SHAP Value A step-by-step guide on creating the ML model by using a SHAP value to understand the importance of each factor to a successful startup.

Join us and participate in our local challenge "Machine Learning for Credit Scoring: Banking the Unbankable in Nigeria".
All DS/AI skill levels are welcome.
Use the link below to register and learn more about the challenge: https://omdena.com/omdena-chapter-page-nigeria/

https://www.linkedin.com/posts/olalekan-ayinde_join-us-and-participate-in-our-local-challenge-activity-6815871324477505536--B6K

Olalekan Ayinde on LinkedIn: Join us and participate in our local challenge "Machine Learning for Join us and participate in our local challenge "Machine Learning for Credit Scoring: Banking the Unbankable in Nigeria". All DS/AI skill levels are welcome...

Omdena Open Education for Data Enthusiasts in Nigeria

Open education is the education without academic admission requirements and is typically offered online. Open education broadens access to the learning and training traditionally offered through formal education systems (Wikipedia).

Continue reading the article here: https://link.medium.com/pVbEoxqkrhb

Omdena Open Education for Data Enthusiasts in Nigeria Open education is the education without academic admission requirements and is typically offered online. Open education broadens access to…

https://www.linkedin.com/posts/opeyemi-taiwo-adeniran-66200b150_one-of-the-fastest-ways-to-develop-your-skills-activity-6814972685970378753-lU9s

Opeyemi Taiwo Adeniran on LinkedIn: One of the fastest ways to develop your skills is through collaboration One of the fastest ways to develop your skills is through collaboration with people in your area of interest. I started my machine learning journey with...

https://www.linkedin.com/posts/omdena-nigeria-chapter_ai-for-energy-kickoff-2hrs-from-now-activity-6814527848762613760-3Hqx

Omdena Nigeria Chapter on LinkedIn: A.I for Energy kickoff 2hrs from now! 😃 join via the link below: A.I for Energy kickoff 2hrs from now! 😃 join via the link below: https://lnkd.in/djcBTcZ If you have a friend interested but yet to be registered, here...

Using GeoSpatial Data Analytics: A Friendly Guide to Folium and Rasterio

We didn’t have much prior experience working with remote sensing and geospatial data visualization. Still, we managed to make it happen, thanks to this collaborative project with Omdena on evaluating Africa’s infrastructure development needs!



The Project
Efficient and effective infrastructure is critical to economic transformation. Over time, Africa’s infrastructure investment needs have increased, with an estimated financing gap amounting up to $108 billion every year (Ref 1).

In response to the call by an Omdena challenge partnering with African Center for Economic Transformation (ACET), we joined a global community of data scientists, engineers, and enthusiasts. We collaborated on a project over a period of two months to evaluate and predict the infrastructure needs of various African countries using data science and the latest technology. The project aimed to support ACET’s ongoing work on infrastructure development.

Continue the rest of the awesome story here:
https://omdena.com/blog/geospatial-data-analytics/

Using GeoSpatial Data Analytics: A Friendly Guide to Folium and Rasterio A step-by-step geospatial data turtorial, handling how to download (.tif) images, analyse data and visualize them using Rasterio and Folium

https://www.linkedin.com/posts/omdena-nigeria-chapter_openeducation-datascientist-nlp-activity-6812795417697243136-f6Zn

Omdena Nigeria Chapter on LinkedIn: #openeducation #datascientist #NLP Using Predictive Modeling: A Data Driven Approach To Impact Investment Strategies🧮 Impact investors aim to deploy capital in a way that creates positive...