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Machine Learning 100 Days Challenge

Avatar of Preston (Shun-Ping) Yu.
Avatar of Preston (Shun-Ping) Yu.

Machine Learning 100 Days Challenge

Global Operational Data Analyst
Taipei, Taiwan
1
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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Avatar of Damian Harrison.
Damian Harrison
almost 3 years
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.

Published: Aug 23rd 2020
129
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Data Engineering
Python
Data Science
CNN
Principal Component Analysis
random forest
XGBoost
Deep Learning
Machine Learning
feature engineering
Exploratory Data Analysis

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