Shedrack
@ShedrackRareGemMachine learning| Deep learning| data science .Passionate about energy development|Lover of God
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After attending the Grand Finale - 10Alytics Global Data Hackathon 2023 Zoom meeting,I learnt a lot. As data professionals: 1. Make your storytelling compelling . This is the ability to blend your technical skills and communication skills together.
I did some feature engineering on loan approval prediction. I trained LogisticRegression, DecisionTreeClassifier,Xgboost,RandomForestClassifier, and Catboost Classifier. RadomforestClassifier performed better with Hyperparameter.
Okay. First bounty is here. 100 CAD for a Nigerian undergraduate in any discipline who can help convert the AfroLID model to Huggingface Transformers framework. See details in issue below. github.com/theyorubayesia…
DO's and DON'Ts for building machine learning models. Those of use who've been in the business for a while, learned it the hard way. For the newer ones, there are general guidelines to avoid making the same mistakes we did aplenty before. 📄arxiv.org/pdf/2108.02497
Today I earned my "Introduction to prompt engineering with GitHub Copilot" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! learn.microsoft.com/api/achievemen… #MSLearnBadge
I participated in an audio classification challenge. It was a great experience. I used librosa , a python library to extract features like FFT,MFC, and Chroma and trained with deep learning. I got an accuracy of 81% #datascience, #audioclassification
Dear young Nigerian, Be reminded that: 1. To SHINE, you must first be SEPARATED. 2. To EMERGE, you must first be PROCESSED. 3. To LEAD, you must first be TRANSFORMED. Very often, your life is a product of your own REFINEMENT. Be INTENTIONAL about your personal development!
#datafam We are very excited to have you come chat with us on @XSpaces this Friday as we discuss our coming event on Saturday! Be sure to be a part of the discussions as we await the amazing event we host! See yall soon. Reserve a spot: twitter.com/i/spaces/1RDGl…
Hello #datafam! 🤗 Join us on Twitter Space this Friday, 27th September 2024, as we discuss about our upcoming Tableau User group event: "Best Practices and Efficient Container Usage" Set a reminder! x.com/i/spaces/1RDGl…
Data leakage is the inadvertent use of data from the test set to train the model. Or more generally, the use of data NOT AVAILABLE at the time of forecast, while training the model.
Less than 1hr to go 🔥 If you registered for this check your mailbox
This session is tomorrow and it's FREE Register to attend if you want to learn about GitHub Copilot forms.office.com/r/Jdeh0FRDd9
Want to learn more about Machine Learning? Y͟o͟u͟ ͟c͟a͟n͟ ͟s͟t͟a͟r͟t͟ ͟b͟u͟i͟l͟d͟i͟n͟g͟ ͟b͟y͟:͟ ͟ 🐍Learning Python 👩💼Experimenting with ML platforms or attending workshops 🗒️Replaying simple Kaggle notebooks 🌏Data wrangling to tackle real-world challenges
Pretty stoked about this one 🚀 🚀 #PyConAfrica2024
✨ Ready to make a difference? Join Paul Okewunmi ( @paul_okewunmi ) at 🐍PyCon Africa 2024 for a session on ''Tools for the Future: Exploring the Current Landscape of Python Frameworks and Tools in the GenAI Era'' 🗓Date: Sept 24-28, 2024 📍 Location: Cedi Conference Center,…
An AI engineer and leader will be speaking. You don't want to miss
Hello #techtwitter 👋 #AWS community WestAfrica will be having me on their #CommunityDay I'll be bringing in my heavy weight of experience to unpack: - RAG systems - Chunking and embedding strategy - Agentic systems; how to design them to scale. Def. something to look forwd to!
From being a typical workshop attendee to being part of the workshop organizers @AfriClimateAI 🫣😁. Met the full team for the first time in person @DeepIndaba 2024🤭. From engaging Rendani during his presentation at a workshop last year to saying ‘yes, we can do a community’🤭
Check out the 3rd edition of the 'Python Feature Engineering Cookbook,' just released & authored by me. It covers all major feature engineering techniques, from imputation, encoding to scaling, using Python's top open-source libraries. A must-have handbook for data enthusiasts!
Exploratory Data Analysis (EDA) projects for beginners here: ⬇️
Resist the urge to normalise mediocrity as a life style.
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