ernestng11 / touchpoint-predictionLinks
Completed Project - Predicting customer touchpoint using XGBoost tuned with GridSearchCV
☆19Updated 4 years ago
Alternatives and similar repositories for touchpoint-prediction
Users that are interested in touchpoint-prediction are comparing it to the libraries listed below
Sorting:
- Interpretable Machine Learning with Python, published by Packt☆471Updated 2 years ago
- Code repository for the online course Machine Learning with Imbalanced Data☆182Updated 9 months ago
- Code repository for the online course Feature Selection for Machine Learning☆330Updated 10 months ago
- ☆206Updated 4 years ago
- This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalan…☆46Updated 4 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated this week
- Data Science Feature Engineering and Selection Tutorials☆286Updated 2 months ago
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆126Updated 11 months ago
- This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…☆265Updated 2 years ago
- Methods with examples for Feature Selection during Pre-processing in Machine Learning.☆363Updated 5 years ago
- jupyter blog☆131Updated last year
- PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…☆135Updated 6 months ago
- Code repository for the online course Feature Engineering for Machine Learning☆399Updated last year
- Experiments on Tabular Data Models☆278Updated 2 years ago
- Address imbalance classes in machine learning projects.☆35Updated 4 years ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆579Updated last year
- XGBoost + Optuna☆716Updated 11 months ago
- Explainable AI with Python, published by Packt☆164Updated 2 years ago
- A Python Package for Feature Selection☆66Updated 2 years ago
- Hyperparameter Tuning with Python☆187Updated last year
- Python Feature Engineering Cookbook, published by Packt☆481Updated 2 years ago
- Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features…☆746Updated 2 months ago
- A repository to keep track of all the code that I end up writing for my blog posts.☆249Updated 2 years ago
- This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…☆82Updated 7 months ago
- References to the Medium articles☆87Updated 2 years ago
- Multi-class with imbalanced dataset classification☆84Updated 6 years ago
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆602Updated 9 months ago
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆80Updated 5 years ago
- ☆180Updated 3 months ago
- Enhanced Credit Card Fraud Detection based on Attention mechanism and LSTM deep Model☆43Updated 3 years ago