solegalli / machine-learning-imbalanced-data
Code repository for the online course Machine Learning with Imbalanced Data
☆171Updated 3 months ago
Alternatives and similar repositories for machine-learning-imbalanced-data:
Users that are interested in machine-learning-imbalanced-data are comparing it to the libraries listed below
- Code repository for the online course Feature Selection for Machine Learning☆315Updated 4 months ago
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆119Updated 5 months ago
- Code repository for the online course Feature Engineering for Machine Learning☆388Updated last year
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆183Updated last year
- This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…☆261Updated 2 years ago
- Code repository for the online course Machine Learning Interpretability☆25Updated 5 months ago
- ☆12Updated 9 months ago
- Code repository for the book feature selection in machine learning☆28Updated last month
- Example Repo for the Udemy Course "Deployment of Machine Learning Models"☆20Updated 5 years ago
- This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalan…☆44Updated 4 years ago
- ☆31Updated 9 months ago
- Applied Machine Learning Explainability Techniques, published by Packt☆241Updated last year
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆204Updated 2 years ago
- References to the Medium articles☆86Updated 2 years ago
- Feature Engineering for Machine Learning, Soledad Galli☆31Updated last year
- Data Science Feature Engineering and Selection Tutorials☆283Updated last month
- Python Feature Engineering Cookbook, published by Packt☆473Updated 2 years ago
- Slides for "Feature engineering for time series forecasting" talk☆58Updated 2 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆134Updated last year
- A comprehensive credit risk model and scorecard using data from Lending Club☆137Updated 3 years ago
- Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classific…☆17Updated 3 years ago
- Python Feature Engineering Cookbook Second Edition, published by Packt☆78Updated last year
- ☆189Updated 4 years ago
- Interpretable Machine Learning with Python, published by Packt☆457Updated last year
- ☆25Updated 4 years ago
- Slides for "Feature engineering for time series forecasting" talk for DataTalks.Club given in August 2022.☆25Updated 2 years ago
- Notebook to walk through Bayesian testing with Kaggle data☆39Updated 3 years ago
- Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features…☆693Updated 9 months ago
- Machine Learning for Time-Series with Python.Published by Packt☆277Updated 10 months ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆83Updated last year