DE & ML Digest
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Collection of all articles on Data Engineering and Machine Learning
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DE & ML Digest
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DE & ML Digest
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Leap from Matplotlib to Plotly: A Hands-On Tutorial for Beginners
Medium
Leap from Matplotlib to Plotly: A Hands-On Tutorial for Beginners
A Step-by-Step Guide to Create an Interactive Combo Chart with Customized Tooltips and Range Slider Using Plotly
DE & ML Digest
ML
A Comprehensive Guide on Fourier Analysis
Analytics Vidhya
A Comprehensive Guide on Fourier Analysis
The importance of the Fourier analysis is paramount. It is one of the pillars of engineering. We can say it is a study of "atoms of waves".
DE & ML Digest
ML
Mini-Datathon: The platform you need for your Data Science hackathon
Medium
Mini-Datathon: The platform you need for your Data Science hackathon
5 steps, that’s all it takes!
DE & ML Digest
ML
5 Common SQL Problems For You To Crush
Medium
5 Common SQL Problems For You To Crush
Know these problems in detail and understand the approaches to solve them easily
DE & ML Digest
ML
Intent Classification with Convolutional Neural Networks
Analytics Vidhya
Intent Classification with Convolutional Neural Networks
Intent classification with CNN is where spam and non-spam email classification, detection of hate speech in social media posts.
DE & ML Digest
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Anomaly Detection with PyOD
Medium
Anomaly Detection with PyOD
This Python library (PyOD) uses algorithms to make outlier detection more accessible and comprehensive
DE & ML Digest
ML
How to work with DateTime in Python
Medium
How to work with DateTime in Python
3 useful snippets under 5 minutes.
DE & ML Digest
ML
How to Work With Python Generators
Medium
How to Work With Python Generators
Improve readability, memory consumption, and performance by knowing how to write generators
DE & ML Digest
ML
Use Bayes’ Theorem to Find Distinctive Names in a List
Medium
Use Bayes’ Theorem to Find Distinctive Names in a List
Learn Log-Odds Bayes with this Practical Python Application
DE & ML Digest
ML
Federated Learning: Collaborative Machine Learning with a Tutorial on How to Get Started
KDnuggets
Federated Learning: Collaborative Machine Learning with a Tutorial on How to Get Started
Read on to learn more about the intricacies of federated learning and what it can do for machine learning on sensitive data.
DE & ML Digest
ML
Closing the AI Value Gap Part 3: The Roadmap to Build Adaptive Analytics
Medium
Closing the AI Value Gap Part 3: The Roadmap to Build Adaptive Analytics
Realizing Adaptive Analytics solutions requires building up trust over time, which is not easy for an AI system. This roadmap will help.
DE & ML Digest
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The Best ETL Tools in 2021
KDnuggets
The Best ETL Tools in 2021 - KDnuggets
If you have clear, well-defined objectives, it won’t be hard to identify the ETL technology that best meets your needs. Here are some of the best ETL tools you can use in your business.
DE & ML Digest
ML
Why is labeling unstructured data still hard?
Medium
Why is labeling unstructured data still hard?
Data labeling, one of the most critical tasks in the lifecycle of a machine learning project, is currently also one of the hardest to…
DE & ML Digest
ML
How AI will shape the Metaverse
Medium
How AI will shape the Metaverse
As different visions of the future digital world known as the Metaverse emerge, what role will AI play in it? Will it improve inclusivity…
DE & ML Digest
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My 2021 Year in Review as a Data Scientist
Medium
My 2021 Year in Review as a Data Scientist
Reading, Writing, Coding, and Career Thoughts
DE & ML Digest
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Hyperparameter tuning in Python
Medium
Hyperparameter tuning in Python
Tips and tricks to tune hyperparameters in machine learning that help improve model accuracy
DE & ML Digest
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How to Use an Autoregressive (AR) Model For Time Series Analysis
Medium
How to Use an Autoregressive (AR) Model For Time Series Analysis
Beginner’s guide to using autoregressive models for forecasting with python
DE & ML Digest
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Deep Learning on Video (Part One): The Early Days…
Medium
Deep Learning on Video (Part One): The Early Days…
A comprehensive overview of early, deep learning-based approaches for learning tasks on video.
DE & ML Digest
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Extracting Features from Audio Samples for Machine Learning
Medium
Extracting Features from Audio Samples for Machine Learning
Creating an effective classifier relies on extracting useful features from the underlying data. In this tutorial, we outline a tool that…
DE & ML Digest
ML
How to mass identify recurring textual features
Medium
How to mass identify recurring textual features
Know what you’re REALLY getting into when you train a NER model for Spanish, English, etc. using spaCy
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