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Stress recognition using AI to help us recognize how stress actually works physically & mentally then how AI can help us detect and solve it.

Using Natural Language Processing to predict the risk level of online games and websites to improve internet safety for children.

May Omdena Scholarship Award. It will be given for 3 months from April 2021 to June 2021 and can be spent on covering educational expenses.

I came to Omdena in Fall 2020, as a lawyer and machine-learning student anxious to learn more about AI and eager to give back.

A proven and tried data science road map to start a learning journey from the basics to advanced levels, with all skills needed

How to get a senior data scientist job? Juber shares his most helpful tips on interviewing, real-world projects, and what every jobseeker should...

Natural Language Processing (NLP) data preparation for basic packages, tools, and visualizations. From regex to word clouds, and sentiment analysis with applications.

Build mental risk predictor model to analyse mental health using Machine Learning during Covid19 pandemic with Pycaret with social media data

How to get insightful data and identify Africa's infrastructural needs by scraping Twitter through NLP libraries and topic modelling.

In this tutorial, we take you into a friendly approach to image denoising using autoencoders in deep learning.

A step-by-step geospatial data turtorial, handling how to download (.tif) images, analyse data and visualize them using Rasterio and Folium

How to excel in Omdena AI projects? Here are four tips shared by one of our collaborators on how to improve your data science skills while making an impact.

A complete handbook of a machine learning pipeline and data life cycle, from data cleaning, exploration, model training till deployment.

My transition journey from being a stay-at-home mom to a high paying Machine Learning Engineer role (NLP) in 2 months! How to do that?

11 proven Do's and Don'ts you need to know to build your data science portfolio (+ How to create a LinkedIn Page + Resume to showcase your portfolio)

To find and prepare high-quality data sources and overcome challenges an organization needs to build diverse and collaborative teams.

Omdena Youth Interview Pravallika Padyala, shares his learnings, insights, setbacks and advice to all those interested in Data Science.

Object detection using OpenCV from scratch, images transformation tools, and how to build a pedestrian detector using computer vision

What are the most essential soft skills to work better in data science teams, solve problems more effectively, and excel in your career?

Applying various topic modeling techniques (Top2Vec, LDA, SBERT, etc.) to understand climate change domains.

Agriculture is the backbone of civilizations. Here are 12 AgTech startups revolutionizing agriculture with AI.

Omdena is the collaborative platform to build innovative, ethical, and efficient AI and Data Science solutions to real-world problems.

This article walks through labeling text and preparing several datasets for ML models to detect political bias and hate speech in news

Implementing two dashboards, for predicting the return on investment on the installation of a solar photovoltaic (PV) system over the long term and for alerting clients with existing PV systems for near-real-time predictions of solar energy adoption in the short term.