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Towards Data Science
Your home for data science. A publication sharing concepts, ideas and codes.
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Economics of Hosting Open Source LLMs
Economics of Hosting Open Source LLMs
Leveraging various deployment options
Ida Silfverskiöld
Nov 12
Techniques for Exploratory Data Analysis and Interpretation of Statistical Graphs
Techniques for Exploratory Data Analysis and Interpretation of Statistical Graphs
Practical Approaches for Uncovering Insights and Patterns in Statistical Visualizations
Leonardo Anello
Nov 12
Latest
Building a Reliable Text Classification Pipeline with LLMs: A Step-by-Step Guide
Building a Reliable Text Classification Pipeline with LLMs: A Step-by-Step Guide
Overcoming common challenges in LLM-based text classification
Youness Mansar
Nov 12
Machine Learning in Fraud Detection: A Primer
Machine Learning in Fraud Detection: A Primer
Balancing automation, accuracy, and customer experience in an ever-evolving adversarial landscape
Samuel Flender
Nov 11
Decoding One-Hot Encoding: A Beginner’s Guide to Categorical Data
Decoding One-Hot Encoding: A Beginner’s Guide to Categorical Data
Learning to transform categorical data into a format that a machine learning model can understand
Vyacheslav Efimov
Nov 11
Advanced Time Series Forecasting With sktime
Advanced Time Series Forecasting With sktime
Learn how to optimize model hyperparameters and even the architecture in a few lines of code
Dr. Robert Kübler
Nov 11
Why ETL-Zero? Understanding the shift in Data Integration
Why ETL-Zero? Understanding the shift in Data Integration
When I was preparing for the Salesforce Data Cloud certification, I came across the term Zero-ETL. The Data Cloud offers the possibility…
Sarah Lea
Nov 11
Detecting Anomalies in Social Media Volume Time Series
Detecting Anomalies in Social Media Volume Time Series
How I detect anomalies in social Media volumes: A Residual-Based Approach
Lorenzo Mezzini
Nov 11
Calibrating Marketing Mix Models In Python
Calibrating Marketing Mix Models In Python
Part 2 of a hands-on guide to help you master MMM in pymc
Ryan O'Sullivan
Nov 11
My Medium Journey as a Data Scientist: 6 Months, 18 Articles, and 3,000 Followers
My Medium Journey as a Data Scientist: 6 Months, 18 Articles, and 3,000 Followers
Real numbers, earnings, and data-driven growth strategy for Medium writers
Yu Dong
Nov 11
AdaBoost Classifier, Explained: A Visual Guide with Code Examples
AdaBoost Classifier, Explained: A Visual Guide with Code Examples
Putting the weight where weak learners need it most
Samy Baladram
Nov 10
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