Master Skewed Datasets: Practical Techniques for Better Insights and Models

Struggling with skewed datasets that lead to biased models and inaccurate insights? Join us for an insightful live tutorial where we break down essential techniques to handle skewed data effectively. We will explore key techniques to address data skewness, including normalization and transformation methods to adjust distributions, resampling approaches like SMOTE for oversampling and under sampling techniques, and stratified sampling, with hands-on Python demonstrations. What You’ll Learn: - Gain a deep understanding of how skewed datasets impact machine learning models and analytical outcomes. - Step-by-step Python implementations to address data skewness, including normalization and transformation methods, resampling approaches like SMOTE, and stratified sampling. - Explore how LLMs deal with imbalanced text data, techniques for managing rare words and underrepresented topics, and bias mitigation strategies in NLP models. #skeweddataset #datascience #python #samplingtechniques ------- Table of Content: 0:01 – Introduction to Handling Skewed Data Sets 1:08 – Understanding Skewed Data Sets 1:28 – Definition and Categories of Skewed Data 2:37 – Class Imbalance Example: Balanced vs. Imbalanced Datasets 5:25 – Feature Skewness: Causes and Impacts 8:38 – Techniques to Handle Skewed Data 8:45 – Transformation Methods 12:33 – Resampling Techniques 15:50 – Stratified Sampling (maintaining class proportions in splits) 18:02 – Python Demonstration 21:35 – Resampling with Imbalanced-Learn Library 29:18 – Stratified K-Fold Cross-Validation 31:36 – Q&A Session ------- 💼 Learn to build LLM-powered apps in just 40 hours with our Large Language Models bootcamp: https://hubs.la/Q01ZZGL-0 👉 Learn more about Data Science Dojo here: https://datasciencedojo.com/ 👉 Watch the latest video tutorials here: https://datasciencedojo.com/tutorials/ 👉 See what our past attendees are saying here: https://datasciencedojo.com/data-scie... -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 8000+ employees from over 2000+ companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- 🔗 Subscribe to our newsletter for data science content & infographics: https://datasciencedojo.com/newsletter/