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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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The simplest explanation to Frequent Pattern-Growth Methodology (FP-Growth)
Medium
The simplest explanation to Frequent Pattern-Growth Methodology (FP-Growth)
Understanding and implementing a depth-first search for frequent patterns using the popular FP-Growth algorithm
DE & ML Digest
ML
Julia Is Not Hard!
Medium
Julia Is Not Hard!
The rumor that Julia is a hard programming language to learn is not true — and here is why.
DE & ML Digest
ML
An Exhaustive Guide to Decision Tree Classification in Python
DE & ML Digest
ML
Want to Join a Bank? Everything Data Scientists Need to Know About Working in Fintech
KDnuggets
Want to Join a Bank? Everything Data Scientists Need to Know About Working in Fintech - KDnuggets
There is ample opportunity for data scientists in the financial services sector. The career experience can be very different, however, from similar roles at pure technology organizations. So, it's best to first consider if this industry is right for your…
DE & ML Digest
ML
Active and upcoming reinforcement learning competitions
Medium
Active and upcoming reinforcement learning competitions
A list of 7 ongoing and annual competitions suitable for getting hands-on practice with reinforcement learning (while winning a prize or…
DE & ML Digest
ML
Time-series ETL with Meerschaum
Medium
Time-series ETL with Meerschaum
Meerschaum is a lightweight time-series ETL system for data scientists built with quality-of-life in mind.
DE & ML Digest
ML
Three Grand Challenges in Machine Learning
Medium
Three Grand Challenges in Machine Learning
Problems guaranteed not to lose their spice.
DE & ML Digest
ML
What Google Recommends You do Before Taking Their Machine Learning or Data Science Course
KDnuggets
What Google Recommends You do Before Taking Their Machine Learning or Data Science Course
First steps to learning data science & machine learning are the foundations.
DE & ML Digest
ML
An Introduction To Recurrent Neural Networks And The Math That Powers Them
DE & ML Digest
ML
GoEmotions: A Dataset for Fine-Grained Emotion Classification
Google AI Blog
GoEmotions: A Dataset for Fine-Grained Emotion Classification
Posted by Dana Alon and Jeongwoo Ko, Software Engineers, Google Research Emotions are a key aspect of social interactions, influencing th...
DE & ML Digest
ML
ETL and ELT: A Guide and Market Analysis
KDnuggets
ETL and ELT: A Guide and Market Analysis - KDnuggets
ETL and related techniques remain a powerful and foundational tool in the data industry. We explain what ETL is and how ETL and ELT processes have evolved over the years, with a close eye toward how third-generation ETL tools are about to disrupt standard…
DE & ML Digest
ML
Simple Text Scraping, Parsing, and Processing with this Python Library
KDnuggets
Simple Text Scraping, Parsing, and Processing with this Python Library
Scraping, parsing, and processing text data from the web can be difficult. But it can also be easy, using Newspaper3k.
DE & ML Digest
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Multivariate Time Series Analysis with an LSTM based RNN
KDnuggets
Multivariate Time Series Analysis with an LSTM based RNN - KDnuggets
Check out this codeless solution using the Keras integration.
DE & ML Digest
ML
The Case for a Global Responsible AI Framework
KDnuggets
The Case for a Global Responsible AI Framework - KDnuggets
Public and private organizations have come out with their own set of AI principles, focusing on AI-related risks from their perspective. However, it’s imperative d=to have a global consensus on Responsible AI – based on data governance, transparency and accountability…
DE & ML Digest
ML
A Code Walk Through to Deploying a Container on Heroku Platform
Analytics Vidhya
A Code Walk Through to Deploying a Container on Heroku Platform
A Walk through for model deployment process to deploy a container containing a simple flask app on the cloud platform Heroku
DE & ML Digest
ML
The Ultimate Guide To Setting-Up An ETL (Extract, Transform, and Load) Process Pipeline
Analytics Vidhya
The Ultimate Guide To Setting-Up An ETL (Extract, Transform, and Load) Process Pipeline
ETL is a process that extracts data from multiple source systems, changes it , and then puts it into the Data Warehouse system.
DE & ML Digest
ML
Building a Real-time Short News App using HuggingFace Transformers and Streamlit
Analytics Vidhya
Build a Real Time Short News App - Analytics Vidhya
Learn how to use Newspaper3k, HuggingFace transformers and Streamlit to create and deploy your short news app in Python, in a few simple steps
DE & ML Digest
ML
Laptop Price Prediction – Practical Understanding of Machine learning project lifecycle
Analytics Vidhya
Laptop Price Prediction - Practical Understanding of Machine Learning Project Lifecycle
Explore laptop price prediction, including problem statements, dataset analysis, EDA, feature engineering, and machine learning modeling.
DE & ML Digest
ML
Learn how to build your Discord bot using DailoGPT and HuggingFace API
Analytics Vidhya
Learn how to build your Discord bot using DailoGPT and HuggingFace API
In this article, Create your own Discord Bot with DailoGPT and HuggingFace API in Python and deploy it on Replit server for free
DE & ML Digest
ML
Is the Modern Data Stack Leaving You Behind?
KDnuggets
Is the Modern Data Stack Leaving You Behind? - KDnuggets
The modern data stack narrative is largely dominated by analytics engineering. Where does that leave data engineers? Discover the difference between the MDS for data engineers & analytics engineers.
DE & ML Digest
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Top 5 Time Series Methods
KDnuggets
Top 5 Time Series Methods - KDnuggets
Data that varies in time can offer powerful applications and use cases for data scientists to analyze. This overview considers the top techniques you can learn to understand and gain insight from time-series data.
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