Top Tweets for #LearnWithHackBio
for a binary classification problem like 'Predicting Breast Cancer Diagnosis', either Malignant (M) or Benign (B), we use Logistic Regression.
#LearnWithHackBio
βLinear and Multivariate Regressionβ ππ»
cc: @TheHackbio
#LearnWithHackBio #AI #MachineLearning
https://t.co/0DyvfOWDrz
learning how to build biological models β this particular task predicts Forced Expiratory Volume (fev) in relation to variables like Height, Age and Smoking
#AI
#MachineLearning
#LearnWithHackBio
#LearnWithHackBio
Done with the theories; this weekend, I will be learn how to build models.
For a start, Linear Regression, then Multivariate Regression, Logistic Regression, Random Forest and XGBoosting Modelling, Dimensionality Reduction.
Let's get this π€πΎ
cc: @TheHackbio
on to the next: 'Machine Learning in Bio (Py)' - to design, evaluate, and interpret machine learning models for biological prediction
#LearnWithHackBio
Seaborn Task: https://t.co/t3ONYqDFJ2
#LearnWithHackBio π
Spotlight thursday
Meet our Interns of week 2
Their work reflects the future of bioinformatics: interdisciplinary, global, and impact-driven.
Tag anyone you know here below
#HackBio #Bioinformatics #Internship #STEM #DataScience #Genomics #FutureScientists
#LearnWithHackBio ππ»
βData Visualization with Seabornβ ππ»
cc: @TheHackbio
#LearnWithHackBio #Python #Bioinformatics
https://t.co/6Kc9uI4FYi
on to the next: 'Machine Learning in Bio (Py)' - to design, evaluate, and interpret machine learning models for biological prediction
#LearnWithHackBio
Seaborn Task: https://t.co/t3ONYqDFJ2
Up-next: Seaborn for Biological Data ππ»
#LearnWithHackBio
βData Visualization with Seabornβ ππ»
cc: @TheHackbio
#LearnWithHackBio #Python #Bioinformatics
https://t.co/6Kc9uI4FYi
Up-next: Seaborn for Biological Data ππ»
#LearnWithHackBio
βData Exploration and Cleaning with Pandasβ ππ»
cc: @TheHackbio
#LearnWithHackBio #Python #Bioinformatics
https://t.co/ZiImy8SWfz
#LearnWithHackBio
πͺπππ ππ π₯ππ£ππππ πππ’ππ‘ππ’π₯π ππ§πππππ‘π¦?
Read more: https://t.co/8vEaHPZT47
Will AI Replace Bioinformaticians β or Make Them More Powerful?
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