PacktPublishing / Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
☆446Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Interpretable-Machine-Learning-with-Python
- Python Feature Engineering Cookbook, published by Packt☆461Updated last year
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆190Updated last year
- Applied Machine Learning Explainability Techniques, published by Packt☆237Updated last year
- Code repository for the online course Feature Engineering for Machine Learning☆375Updated 11 months ago
- ☆146Updated 2 years ago
- Code repository for the online course Feature Selection for Machine Learning☆301Updated 3 weeks ago
- Explainable AI with Python, published by Packt☆156Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆567Updated 5 months ago
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆111Updated last month
- Code repository for the online course Machine Learning with Imbalanced Data☆161Updated 2 months ago
- Data Science Feature Engineering and Selection Tutorials☆279Updated 2 weeks ago
- References to the Medium articles☆86Updated 2 years ago
- Interpretable ML with Python, 2E - published by Packt☆83Updated 8 months ago
- Python-centered read-along of Forecasting: Principles and Practice☆468Updated last month
- Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features…☆670Updated 5 months ago
- Machine Learning for Time-Series with Python.Published by Packt☆265Updated 6 months ago
- ☆273Updated last year
- Resources for Machine Learning Pocket Reference☆248Updated 3 years ago
- Modern Time Series Forecasting with Python, published by Packt☆453Updated 6 months ago
- Slides for "Feature engineering for time series forecasting" talk for DataTalks.Club given in August 2022.☆25Updated last year
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆165Updated 2 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆418Updated 2 months ago
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆524Updated 4 months ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆883Updated 2 years ago
- Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel☆355Updated 4 years ago
- Timeseries for everyone☆247Updated last year
- ☆115Updated 2 years ago
- Python Feature Engineering Cookbook Second Edition, published by Packt☆78Updated last year
- Cracking the Data Science Interview☆335Updated 4 years ago
- 100 exercises to learn Python Datatable☆268Updated 2 years ago