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Machine Learning 100 Days Challenge
Machine Learning 100 Days Challenge
Global Operational Data Analyst
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Taipei, Taiwan
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Please refer to my github for detail
https://github.com/PrestonYU/3rd-ML-100Days
- Exploratory Data Analysis
- Feature Engineering
- Supervised Machine Learning Modeling :
Regression Model, Tree-based Model (Random Forest, Gradient Boosting, XGBoost)
- Unsupervised Machine Learning Modeling :
Hierarchical clustering, K Means Classification, Principal Component Analysis
- Deep Learning Neural Network Building :
DNN, CNN, Transfer Learning
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I am very interested in this topic and I would like to study it in the context of the engineering field. Are you accepting newcomers to the team? I already have a resume for such a case) This is the type - <a href="https://resumewritinglab.com/engineering-resume-writing.html">https://resumewritinglab.com/engineering-resume-writing.html</a> I want to gain experience in this area so that I have good prospects later.
