List: Data Science | Curated by Setumo Raphela

Mar 17, 2024
89 stories
Data Science
In
TDS Archive
by
Conor O'Sullivan
A Step-By-Step Introduction to PCAA guide on how to apply principal component analysis to a dataset using python
Apr 14, 2020
3
Apr 14, 2020
3
In
TDS Archive
by
Susan Maina
13 Key Code Blocks for EDA-Classification TaskExplore any data set with this quick guide for a machine learning classification task
Mar 16, 2021
Mar 16, 2021
Subash Palvel
Handling Multi-label Classification ProblemsMulti-label classification is a type of classification problem where each instance can be assigned multiple labels. This is different from…
Sep 11, 2023
Sep 11, 2023
Anushruthika
From Raw to Rescaled: A Guide to Z-Score, Normalization, and Standardization in Data PreprocessingIn the world of data preprocessing, ensuring that your data is in the right format and scale is a crucial step in building robust and…
Aug 16, 2023
Aug 16, 2023
In
Microsoft Azure
by
Francesca Lazzeri
Automated and Interpretable Machine LearningThis blog post is authored by Francesca Lazzeri (@frlazzeri)
Jul 15, 2019
1
Jul 15, 2019
1
Excelsior
Chi-squared test: Everything you need to know about itIntroduction
Jan 17, 2022
Jan 17, 2022
 This story is no longer available
In
DataDrivenInvestor
by
Christophe Atten
Effective Feature Engineering for Random Forest, XGBoost, and LightGBMEnhance Model Performance and Uncover Insights with Data Optimization
May 22, 2023
May 22, 2023
In
TDS Archive
by
Rukshan Pramoditha
How to Mitigate Overfitting with K-Fold Cross-ValidationAddressing the problem of overfitting — Part 1
Sep 21, 2021
Sep 21, 2021
Srishti Sawla
Fine-Tuning Your XGBoost Model with Key HyperparametersXGBoost (Extreme Gradient Boosting) is a powerful and widely used Machine Learning library for gradient boosting. It’s known for its high…
Feb 7, 2023
1
Feb 7, 2023
1
In
TDS Archive
by
Mateo Restrepo
Doing XGBoost hyper-parameter tuning the smart way — Part 1 of 2In this post and the next, we will look at one of the trickiest and most critical problems in Machine Learning (ML): Hyper-parameter…
Aug 29, 2018
7
Aug 29, 2018
7
In
TDS Archive
by
Mario Larcher
Decoding NumPy’s Dot Product: A Brief Exploration of Dimensional WizardryClarifying once and for all the confusion over NumPy’s dot product
Jul 24, 2023
Jul 24, 2023
Rhydham Gupta
P-value Explained Clearly — Regression, PDF, DiscreteP-value is a very powerful concept yet there is a lack of clear understanding of what exactly the p-value represents.
Aug 15, 2022
2
Aug 15, 2022
2
In
TDS Archive
by
Boriharn K
Visualizing 3 Sklearn Cross-validation: K-Fold, Shuffle & Split, and Time Series SplitPlotting the process of Sklearn K-Fold, Shuffle & Split, and Time Series Split cross-validation and showing validating results using Python
Jul 10, 2023
3
Jul 10, 2023
3
In
Towards AI
by
Dr. Roi Yehoshua
The Complete Guide to Data Preprocessing (Part 1)Data preprocessing is the process of cleaning, transforming, and organizing your data set in order to prepare it for data analysis and…
Jul 3, 2023
2
Jul 3, 2023
2
In
Towards AI
by
Bex T.
10 Sklearn Treasure Features Overlooked By 99% of Online CoursesBuried in the docs. Waiting to be found.
Jun 26, 2023
3
Jun 26, 2023
3
In
TDS Archive
by
Luís Roque
Advanced RegressionCollege Statistics with Python
Jul 29, 2021
Jul 29, 2021
In
TDS Archive
by
Susan Li
An End-to-End Project on Time Series Analysis and Forecasting with PythonTime series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…
Jul 9, 2018
93
Jul 9, 2018
93
In
TDS Archive
by
Khuyen Tran
How to Tokenize Tweets with PythonShould We Choose TweetTokenizers or 4 other Common Tokenizers instead?
Feb 15, 2020
Feb 15, 2020
In
TDS Archive
by
Satyam Kumar
Top 10 Pre-Trained Models for Image Embedding every Data Scientist Should KnowEssential guide to transfer learning
Apr 19, 2023
2
Apr 19, 2023
2