List: Reading list | Curated by Maik Paixão

Sep 19, 2024
33 stories
Reading list
In
Towards AI
by
Louis-François Bouchard
The Best RAG Stack to Date(exploring every component)
Sep 14, 2024
1K
17
Sep 14, 2024
1K
17
In
TDS Archive
by
Almog Baku
The LLM Triangle Principles to Architect Reliable AI AppsSoftware design principles for thoughtfully designing reliable, high-performing LLM applications
Jul 16, 2024
5.6K
14
Jul 16, 2024
5.6K
14
In
get-defacto
by
Dany Srage
Explainability of the features? No! Of the hyperparameters.As data scientists, we enjoy training models, but the enthusiasm often fades when it’s time to fine-tune the model’s hyperparameters after…
Mar 15, 2024
1.2K
12
Mar 15, 2024
1.2K
12
In
TDS Archive
by
Joos K
Fourier Transform for Time SeriesLearn what Fourier Transform is and how it can be used to decompose time series. With a worked Python example on CO2 time series data.
Oct 31, 2021
343
7
Oct 31, 2021
343
7
In
Learning SQL
by
Marie Truong
4 Techniques to Solve Hard SQL ProblemsWrite complex queries easily with these tips
Jul 18, 2023
625
14
Jul 18, 2023
625
14
Shi Heng Zhang
LineageX: The Python library for your lineage needsLineageX aims to generate the column-level lineage information by providing a lightweight, accessible, and flexible tool for developers and…
Jun 8, 2023
255
1
Jun 8, 2023
255
1
Khairina
Data Pipelines Pocket Reference — Key Learning PointsIn this post, I will share my key learning points from the Data Pipelines Pocket Reference: Moving and Processing Data for Analytics book.
Jul 2, 2023
125
2
Jul 2, 2023
125
2
Peter Flom
ANOVA: Why analyze variances to compare means?Some people who are new to statistics get confused about ANOVA (analysis of variance) and one common confusion is why we are analyzing…
Dec 8, 2018
727
6
Dec 8, 2018
727
6
In
TDS Archive
by
Angel Das
Introduction to Data Processing using Descriptive Statistics and Statistical Charts in PythonA complete hands-on guide to test Data Assumptions (MCAR, MAR, MNAR, Central Tendency, Skewness, and Outliers) in Python
Jan 20, 2022
102
3
Jan 20, 2022
102
3
In
Analytics Vidhya
by
Paul Bananzi
Credit Risk Modelling in PythonCredit risk is the risk of a borrower not repaying a loan, credit card or any type of credit facility. Credit risk is an important topic…
Nov 6, 2020
70
1
Nov 6, 2020
70
1
 This story is no longer available
In
TDS Archive
by
Eduardo Blancas
On writing clean Jupyter notebooks10 recommendations for writing readable and maintainable notebooks
Jul 23, 2021
1.7K
20
Jul 23, 2021
1.7K
20
Adnan Siddiqi
Create your first ETL Pipeline in Apache Spark and PythonIn this post, I am going to discuss Apache Spark and how you can create simple but robust ETL pipelines in it. You will learn how Spark…
Jun 9, 2019
809
6
Jun 9, 2019
809
6
In
Analytics Vidhya
by
Ayşenur Özen
E-Commerce Data: Exploratory Data Analysis (EDA)In this article, I will use e-commerce data to take the first and most important step of data analysis with EDA, and thus we will see this…
Jan 18, 2021
53
1
Jan 18, 2021
53
1
In
Geek Culture
by
Burak Doğrul
Predicting Customer Life Time Value (CLTV) via Beta Geometric / Negative Binominal Distribution…In this article, after explaining the history of the customer lifetime value and buy till you die model, I will examine the BG/NBD and…
Jun 8, 2021
427
1
Jun 8, 2021
427
1
In
TDS Archive
by
Chuck Utterback
Predict Customer Churn With PrecisionBalancing precision and recall for actionable retention tactics
Apr 26, 2021
337
2
Apr 26, 2021
337
2
In
Analytics Vidhya
by
Paul Wanyanga
Improving Customer Retention using Machine LearningBusiness Perspective
Apr 13, 2021
67
Apr 13, 2021
67
In
TDS Archive
by
Cvetanka Eftimoska
Big Data Analyses with Machine Learning and PySparkBig data is a term that describes the large volume of data — both structured and unstructured.
May 4, 2020
165
1
May 4, 2020
165
1
In
TDS Archive
by
Andrii Shchur
Marketing automation — Customer segmentationDo you know your customers? Customer analytics is becoming critical. These insights power businesses’ sales, marketing, and product…
Jun 17, 2021
168
2
Jun 17, 2021
168
2
DataTurks: Data Annotations Made Super Easy
Understanding SVMs’: For Image ClassificationHello friends! Welcome back… In this fourth tutorial we are going to understand Support Vector Machines. An algorithm that intuitively…
Aug 10, 2018
605
3
Aug 10, 2018
605
3