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coubanao's Projects

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

betterga4 icon betterga4

A repository of solutions for improving que quality of life of analysts with GA4

bqml-actions icon bqml-actions

BigQuery ML Actions using Google Cloud Functions for Looker

code icon code

Compilation of R and Python programming codes

coursera-ibm-machine-learning-with-python-final-project icon coursera-ibm-machine-learning-with-python-final-project

The following algorithms are used to build models for the different datasets: k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression The results is reported as the accuracy of each classifier, using the following metrics when these are applicable: Jaccard index, F1-score, Log Loss. This project counts towards the final grade of the course.

covid19_twitter icon covid19_twitter

Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development

csvkit icon csvkit

A suite of utilities for converting to and working with CSV, the king of tabular file formats.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

eagle-vision icon eagle-vision

Deployed bird classification webapp using Deep Learning, Docker, and Streamlit. Users can go onto the webapp and either upload their own images of birds or select from a set of images to feed through a Deep Learning model and display a prediction.

edx-materials icon edx-materials

Contains public materials for students enrolled in MITx: 6.871x, Machine Learning for Healthcare

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