Kids adopted a classroom robot so a little boy battling cancer can still read and play with his mates 🥺️❤️️
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Hi All!! I also done an phase 1 Golden task of Breast Cancer Prediction with this i included various parameters to implemented here ✍ CodersCave #datascience #intern #python
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"Empowering cancer diagnosis with machine learning! Leveraging Python and MLP Classifier, I've harnessed data to predict breast cancer. Trained on samples, this model exhibits remarkable accuracy in distinguishing cases. Passion meets science for impactful insights. 🩺📊 #BreastCancerDetection #MLPClassifier #DataScience #machinelearning #machinelearningengineer
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🤔 Can traits be inherited or acquired from external sources? 🧬 This is the fascinating concept behind hopal pono! 🌟 It's like a computer virus that can manifest at any age or stage of life. 💥 Whether it's breast cancer at 33 or sudden death, the impact is profound. 😱 Dr. Yulin even shared a mind-blowing story about how his actions prevented autism four generations later! 🧠💔 Let's dive into the depths of our programming and explore the micro origins of our minds. 🌌✨ #InheritedTraits #ExternalInfluences #MicroOrigins
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Understanding ovarian cancer is vital for caregivers and survivors. Explore our Animated Patient's Guide to gain essential information about types, risk factors, and symptoms in a simple, easy-to-understand animation. Visit: https://hubs.la/Q02Gb5JS0 #KnowOvarian
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Hey Guys, Created a new app on Streamlit which can take any x-ray and classify it between 4 different diseases. If there are any errors or the model makes a mistake please let me know and i will try to fix them to make this more accurate and for inputing any image with lung cancer please use a CT scan as that is the only type of x-ray that will work for lung cancer. #python #app #coding #medicaldiagnosis
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🚀 Exciting News: Tackling Breast Cancer Data on Kaggle! 📊 Hey LinkedIn fam! 👋 Just wanted to share a quick update on what I've been up to lately. 🤓 I've been knee-deep in a Breast Cancer dataset on Kaggle, and it's been a fascinating ride! 👩💻 Four Models, One Goal: I took a crack at the data using 4 different models: 1️⃣ Logistic Regression 2️⃣ Random Forest 3️⃣ KNN 4️⃣ XGBoost 🤯 📈 What's the Scoop: After lots of tweaking, testing, and squinting at metrics, I've got some cool results! 🎉 These models are showing promise in predicting breast cancer patterns. 🙌 Big Shoutout: Huge thanks to the Kaggle crew for the awesome dataset and the helpful community vibes. 🌐 Couldn't have done it without you! 🔍 What's Next: I'm stoked to keep refining these models and maybe try some fancy ensemble tricks. 💪🔬 #DataScience #KaggleChallenge #BreastCancerResearch #TechLife #machinelearning **Upvote** 👍🙏
Breast Cancer (with 4 different models)😵💫
kaggle.com
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Check out this Machine Learning model developed using Breast Cancer data! The completion of the model will guide you through the steps of data preprocessing and encoding, as well as utilizing SVM and Logistic Regression classifiers. These classifiers achieved precision scores of 73% and 71%, respectively, in sequence. Feel free to see if you can replicate these results. You can find the code on my GitHub page. Link for the code: https://lnkd.in/eyeDCQzm For those interested, please follow the link below to download the data. https://lnkd.in/ejx3gEJy Citation: Zwitter,Matjaz and Soklic,Milan. (1988). Breast Cancer. UCI Machine Learning Repository. https://lnkd.in/eh34tdtV. #machinelearning #datacleaning #python #svm #logisticregression #jupyternotebook
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Since one cannot post on LinkedIn the reality of how skin cancer looks like, the same post, no illustration: Let's get some real stuff done. We have decided to participate in Kaggle's skin cancer detection challenge, ISIC 2024. We have 2 more vacations in the team of 5. Check it out and let's code together (or against each other 🙂 ). 🧠 ISIC 2024: https://lnkd.in/d7mqU_NY 📦 Favourable 3GB data size: 500k skin images and parameters of the lesions. 🤪 Challenge is in the hugely biased dataset, 400 malignant lesions only. 📅 2 months to final submission. 👩💻 If you are a genius, do it yourself, unless you want to split the 20 000 $ with stupid team mates, David Palecek (he/him) Minh Nhat Trinh Raphael Jamur #kaggle #skincancer #classification #python #AI #pythonalgarverevolution #teamcoding
ISIC 2024 - Skin Cancer Detection with 3D-TBP | Kaggle
kaggle.com
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