Shanice
@ShaniceDoesData
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Howdy Tech Community 👋 I'm Shanice. Part time Data Science Student I joined Twitter 4 days ago😁 Currently working on improving my machine learning knowledge. Looking forward to connecting with like minded folks🚀 What are you working to improve on?
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After a week without my desktop, she's finally back 🙌🏾🙌🏾 Back to work! 😍
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This was a nice progression with a focus on the strengths and weaknesses of the models, the importance of tuning their parameters and comparing performance.
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Another module in the books in #mlzoomcamp. This module centered on decision trees and ensemble methods such as Random Forests and XGBoost! It is so easy to over fit a decision tree!
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100% success rate with this one!
One of the best coding tips I got early in my career and still use today is this: when you’re stuck on a problem, step away. Take a break, clear your head, and come back later. It’s wild how often the solution just clicks like magic.
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Only ever experienced keras for deep learning, but looking forward to diving into Pytorch during #mlzoomcamp 🙌🏾
Why choose PyTorch over Keras for deep learning in 2025? Keras still holds its ground. It's fantastic for education, prototyping, and TensorFlow-native environments. But for most modern deep learning workloads, PyTorch leads in industry adoption. Here's why:
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Docker was key in this weeks deployment week of #mlzoomcamp Made all the more interesting my file structure choices. I faced a few challenges in this one...
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Module 4 homework? Completed ✅ Accuracy is not all it seems 👀 So good to cement my understanding of binary classification evaluation metrics #mlzoomcamp #DataTalksClub
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Another homework in the books! #mlzoomcamp has got me in curiosity mode. Trying to consciously question the choices I make when selecting models or metrics for examining feature importance. Looking forward to carrying this into model evaluation week! #DataTalksClub
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Today is a great day to: 1. Learn python 2. Improve your python skills 3. Master your python skills Lock in
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Update: We won. 😁
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Slow progress is better than no progress. Slow progress is better than no progress. Slow progress is better than no progress.
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Kindly RT and share with anyone you think may find this useful
If you are a "uni-viz-ity" student in London 🇬🇧 thinking about a career in data & wondering how to get started, you won't want to miss Tableau's upcoming event on the 6th of March! I'll be on the panel alongside other data experts to share some tips and answer your questions 🧵
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New month? Time for a new challenge me thinks! Time to build some new portfolio projects and put into practice what I've been learning 💃🏾
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