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Forecasting lectures and tutorials using Python
A python library for user-friendly forecasting and anomaly detection on time series.
RNN based Time-series Anomaly detector model implemented in Pytorch.
😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
Real-time fraud detection in venmo payments.
miftus / final-project-credit-card-fraud-pipeline
Forked from archie-cm/final-project-credit-card-fraud-pipelineFinal Project create an end-to-end credit card fraud pipeline using lambda architecture (providing access to batch and stream processing)
This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-bigquery-reservation
A series of DAGs/Workflows to help maintain the operation of Airflow
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Free Data Engineering course!
My FREE supervised learning online course for everyone
A game theoretic approach to explain the output of any machine learning model.
My FREE supervised learning online course for everyone
This topic is often underestimated. But people often don't really know when they are asked "What kind of KPI that suitable for this case and that case? How to calculate it?". Read the answer in thi…
All resources that I used for NLP Project - Data Science Bootcamp @fullstackbangalore | Demo App https://share.streamlit.io/gardenialionita/nlp-hotel-review/main/app.py
For this project, the task is to create a dashboard for a particular brand in Kimia Farma. The tools that been used is SQL to process the raw data and then transfered the data to Google Data Studio…
A repository of Python tips for common data science tasks, including dataset unit testing and machine learning development for production
A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning