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Nimmy Thomas's Projects

awesome-azure-learning icon awesome-azure-learning

This repo includes plenty of references for Azure learning, especially for the Azure certs and Azure architecture, and any other learning materials e.g. security and automation topics.

awesome-bert icon awesome-bert

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

customer-segmentation-and-churn-analytics icon customer-segmentation-and-churn-analytics

1.The projects aims to classify customers into segments based on their income and spending patterns helping companies to target right customers and personalize strategies for each segment.2.The next aim is to predict churn of customers and factors affecting churn to help plan ways to decrease churn retention by adopting right measures.

de_zoomcamp icon de_zoomcamp

Solutions for Data Engineering Zoomcamp, Winter 2022.

dp100 icon dp100

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

educative.io_courses icon educative.io_courses

this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack

ghcn-d icon ghcn-d

Data Pipeline from the Global Historical Climatology Network DataSet

handson-ml3 icon handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hifis-model icon hifis-model

Machine learning models for prediction of chronic homelessness using the HIFIS Application.

image-classification icon image-classification

The project aims at using classical machine learning algorithms for classifying digits from MNIST data set and then implementing CNN architecture to compare how much improvement in accuracy can we achieve?

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

ml-basics icon ml-basics

Exercise notebooks for Machine Learning modules on Microsoft Learn

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