ernestng11 / touchpoint-prediction
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:
- Applied Machine Learning Explainability Techniques, published by Packt☆244Updated last year
- Code repository for the online course Machine Learning with Imbalanced Data☆177Updated 5 months ago
- Code repository for the online course Feature Selection for Machine Learning☆320Updated 6 months ago
- This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…☆80Updated 4 months ago
- PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…☆133Updated 2 months ago
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆123Updated 7 months ago
- Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc☆25Updated 3 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- Interpretable Machine Learning with Python, published by Packt☆462Updated last year
- Data Science Feature Engineering and Selection Tutorials☆285Updated 3 months ago
- This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…☆261Updated 2 years ago
- XGBoost + Optuna☆707Updated 8 months ago
- Deep Learning and Rare Event Prediction☆46Updated 3 years ago
- Data Science Portfolio☆72Updated 4 years ago
- Deployment Heroku☆57Updated 11 months ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆87Updated 2 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆577Updated 11 months ago
- ☆149Updated 3 years ago
- ☆26Updated 4 years ago
- ☆20Updated 4 years ago
- ☆51Updated 2 years ago
- Multi-class with imbalanced dataset classification☆84Updated 5 years ago
- Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel☆363Updated 4 years ago
- Address imbalance classes in machine learning projects.☆36Updated 3 years ago
- Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020☆122Updated 3 years ago
- ☆200Updated 4 years ago
- LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune them using Optuna, Auto serve best model using FastAPI. Inspire…☆37Updated 3 years ago
- Python tutorial on machine learning with time series for DSSGx 2020☆23Updated 4 years ago
- Boosted neural network for tabular data☆214Updated 9 months ago