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followers: 4.0 following: 34.0 repos: 33.0 gists: 0.0

Name: Abdulwajeed

Type: User

Bio: Data Scientist and Python Developer, I am passionate about leveraging data and machine learning to solve complex problems and drive innovative solution.

Twitter: Abdulwajeed

Hi 👋, I'm Ganiyu Abdulwajeed

Experienced machine learning engineer with a focused expertise in designing and deploying machine learning models to production, I bring a proven track record spanning over two years. Proficient in Python and SQL programming languages, I have successfully developed and implemented advanced machine learning solutions showcasing my commitment to delivering impactful results in dynamic environments.

🔭 I’m currently working on Leveraging-machine-learning-to-improve-crop-yield-for-smallholder-farmer-in-sub-sahara-africa.
💬 Ask me about my experience learning Python, Data Analysis and Machine Learning, and how it has helped me in my data science projects
📫 How to reach me [email protected]

Published Article:

A step-by-step approach to building a fast API for deep learning classification projects A step-by-step approach to building a fast API for deep learning classification projects.

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Abdulwajeed 's Projects

a-deep-learning-approach-to-skin-cancer-diagnosis

ai-hacktober-mlsa

Contributing to cutting-edge open-source projects in Machine Learning hosted by MLSA Nigeria

airplane-crashes-since-1908

Full history of airplane crashes throughout the world, from 1908-present

audiophile-e2e-pipeline

Pipeline that extracts data from Crinacle's Headphone and InEarMonitor databases and finalizes data for a Metabase Dashboard.

awesome-multimodal-large-language-models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

bostonhousepricing

covid-19-dashboard-data-analysis-using-excel

customer_churn_prediction

data-engineering-zoomcamp

Free Data Engineering course!

data-team-handbook

energy-forecasting

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴