DE & ML Digest
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Collection of all articles on Data Engineering and Machine Learning
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DE & ML Digest
117 subscribers
DE & ML Digest
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Contingency Tables, Chi-Squared, & Cramer’s V
Medium
Contingency Tables, Chi-Squared & Cramer’s V
How to Easily Check for Associations Between Categoricals
DE & ML Digest
ML
Sweatpants Unleashed — the Data Science of an Ignominious Garment
Medium
Sweatpants Unleashed — the Data Science of an Ignominious Garment
A Time Serie Analysis of How Covid-19 Unraveled a Loose Attire
DE & ML Digest
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Real-time Artwork Generation using Deep Learning
Medium
Real-time Artwork Generation using Deep Learning
Adaptive Instance Normalisation(AdaIN) for Style Transfer between any arbitrary content-style image pair.
DE & ML Digest
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A Useful Mindset for Learning SQL
Medium
A Useful Mindset for Learning SQL
Sharing the mindset accelerated my learning process in SQL
DE & ML Digest
ML
Stop Hardcoding Sensitive Data in Your Python Applications
Medium
Stop Hardcoding Sensitive Data in Your Python Applications
Keep your settings and credentials private with .env files
DE & ML Digest
ML
Weird Python Stuff You Might Not Have Seen Before
Medium
Weird Python Stuff You Might Not Have Seen Before
Some of Python’s strangest secrets that are much-less well-known.
DE & ML Digest
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BigQuery: 3 simple ways to Audit and Monitor your Dabatase.
Medium
BigQuery: 3 simple ways to Audit and Monitor your Dabatase.
How to audit and monitor your BigQuery Database, to keep it clean and efficient.
DE & ML Digest
ML
Vanishing gradient in Deep Neural Network
Medium
Vanishing gradient in Deep Neural Networks
Causes and possible solutions
DE & ML Digest
ML
How To Apply a Function To Columns in Pandas
Medium
How To Apply a Function To Columns in Pandas
Discussing when to use apply() or map() when applying functions to pandas columns and how to do it more efficiently
DE & ML Digest
ML
Maximum Likelihood Estimation -A Comprehensive Guide
Analytics Vidhya
Maximum Likelihood Estimation
Explore the fundamentals and advanced concepts of Maximum Likelihood Estimation (MLE) including statistical modeling, Kullback-Leibler divergence, and more.
DE & ML Digest
ML
Using PettingZoo with RLlib for Multi-Agent Deep Reinforcement Learning
Medium
Using PettingZoo with RLlib for Multi-Agent Deep Reinforcement Learning
A tutorial on using PettingZoo multi-agent environments with the RLlib reinforcement learning library
DE & ML Digest
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5 Things To Learn As A Data Science Foundation In 2021
Medium
5 Things To Learn As A Data Science Foundation In 2021
Get to know and understand some fundamentals of Data Science with this short read!
DE & ML Digest
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The properties and application of symmetric matrice
Medium
The properties and application of symmetric matrice
with geometric explanation
DE & ML Digest
ML
How to create products that rely on machine learning
Medium
How to create products that rely on machine learning
Creating products that rely on machine learning comes with different considerations, risks and constraints than normal products.
DE & ML Digest
ML
t-SNE Machine Learning Algorithm — A Great Tool for Dimensionality Reduction in Python
Medium
t-SNE Machine Learning Algorithm — A Great Tool for Dimensionality Reduction in Python
How to use t-Distributed Stochastic Neighbor Embedding (t-SNE) to visualize high-dimensionality data?
DE & ML Digest
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How to Tame Your Bandit
Medium
How to Tame Your Bandit
Demystifying Pure Exploration (Part 1)
DE & ML Digest
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5 Reasons Why Having an Online Presence Is Essential For Data Scientist Success
Medium
5 Reasons Why Having an Online Presence Is Essential For Data Scientist Success
It’s more than just a way to get a job.
DE & ML Digest
ML
MLOps: Post Deployment Challenges
Medium
MLOps: Post Deployment Challenges
Challenges faced by Data Scientists after model deployment in Production
DE & ML Digest
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The FP Growth algorithm
Medium
The FP Growth algorithm
Using the FP Growth algorithm in Python to do frequent itemset mining for basket analysis
DE & ML Digest
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How to Build A Fantasy Premier League Team with Data Science
Medium
How to Build A Fantasy Premier League Team with Data Science
Optimize your FPL team with data science and mathematics.
DE & ML Digest
ML
R Basics — Everything You Need to Know to Get Started with R
Medium
R Basics — Everything You Need to Know to Get Started with R
Vectors, functions, loops, probability, data visualisations, and more!
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