5.5 Scikit-learn Transformer API (L05: Machine Learning with Scikit-Learn) Published 2020-09-30 Download video MP4 360p Recommendations 26:17 5.6 Scikit-learn Pipelines (L05: Machine Learning with Scikit-Learn) 56:49 Decision Transformer: Reinforcement Learning via Sequence Modeling (Research Paper Explained) 39:43 13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection) 09:11 Transformers, explained: Understand the model behind GPT, BERT, and T5 16:50 Scikit-Learn Model Pipeline Tutorial 09:07 Understanding Pipeline in Machine Learning with Scikit-learn (sklearn pipeline) 44:39 Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python Tutorial | Simplilearn 20:04 Building a Machine Learning API in 15 Minutes | Coding Challenge 3:57:55 Learn TensorFlow and Deep Learning fundamentals with Python (code-first introduction) Part 2/2 28:52 13.4.1 Recursive Feature Elimination (L13: Feature Selection) 20:05 Finetuning Open-Source LLMs 21:39 Create Custom Sklearn Estimators (1) 16:10 13.0 Introduction to Feature Selection (L13: Feature Selection) 19:53 13.2 Filter Methods for Feature Selection -- Variance Threshold (L13: Feature Selection) 28:33 Conditional Ordinal Regression for Neural Networks (CORN) With Examples in PyTorch 13:49 Insights from Finetuning LLMs with Low-Rank Adaptation 1:21:15 7. Value At Risk (VAR) Models Similar videos 21:48 5.3 Object Oriented Programming & Python Classes (L05: Machine Learning with Scikit-Learn) 32:49 (1/2) Demystifying Scikit Learn : Estimators, transformers & Pipelines 28:22 Demonstration of sklearn dataset API 21:56 Design Principles of Scikit-Learn: Theory and Code Demonstrations 1:00:46 Pipelines with SciKit-Learn [2020-09-21] 19:05 13. Polynomial Features and Custom Transformers - sklearn.preprocessing | Scikit-learn Tutorial 17:06 Lecture_62: scikit-learn - Linear Regression Model - Hands-on (Part 1) 1:34:37 Lesson 4: Practical Deep Learning for Coders 2022 03:09 6- Preprocessing Normalization 10:39 How to Encode Categorical Feature in Python [Part 2] | Machine Learning Tutorials | Codegnan 1:12:18 SciPy Korea 2023 - 머신러닝을 위한 정형 데이터 사이킷런 쓸까? 판다스 쓸까? 1:08:22 Statistics, Open Source & ML Research | Python for ML | Interview with Sebastian Raschka More results