Nimmy Thomas's repositories
AI-102-AIEngineer
Lab files for AI-102 - AI Engineer
ai-in-a-day
Azure AI in a Day Labs
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
bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目
awesome-data-engineering
A curated list of data engineering tools for software developers
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
Data-Engineering-HowTo
A list of useful resources to learn Data Engineering from scratch
data-engineering-zoomcamp
Free Data Engineering course!
Data-science-best-resources
Carefully curated resource links for data science in one place
DE_Zoomcamp
Solutions for Data Engineering Zoomcamp, Winter 2022.
deep-learning-with-databricks
Owner: Jacob Parr
DP100
Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure
educative.io_courses
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
ghcn-d
Data Pipeline from the Global Historical Climatology Network DataSet
google-cloud-associate-cloud-engineer
Course files for Google Cloud Associate Cloud Engineer - Antoni Tzavelas
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
Machine learning models for prediction of chronic homelessness using the HIFIS Application.
mslearn-ai900
Lab files for AI-900: Azure AI Fundamentals
mslearn-dp100
Lab files for Azure Machine Learning exercises
nlp-journey
Documents, papers and codes related to NLP, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.
streamify
A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!
Text_Classification
Text Classification Algorithms: A Survey
Udacity-Deep-Learning-Nanodegree
The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.
water-forecast
Machine learning models applied to water demand forecasting in the City of London.