Alternatives and similar repositories for touchpoint-prediction

Users that are interested in touchpoint-prediction are comparing it to the libraries listed below

• Swastik-25 / Imbalanced-Data-with-SMOTE-Techniques
  This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalan…
  ☆44Updated 4 years ago
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆178Updated 7 months ago
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆323Updated 8 months ago
• PacktPublishing / Hands-On-Explainable-AI-XAI-with-Python
  Explainable AI with Python, published by Packt
  ☆163Updated 2 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆247Updated last year
• bhattbhavesh91 / imbalance_class_sklearn
  Address imbalance classes in machine learning projects.
  ☆36Updated 4 years ago
• nikhilmishradevelop / zindi-winning-solutions
  My solutions to various zindi competitions. Zindi is an African data science platform, which can be found here https://zindi.africa/
  ☆27Updated 5 years ago
• srivatsan88 / End-to-End-Time-Series
  This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…
  ☆263Updated 2 years ago
• solegalli / hyperparameter-optimization
  Code repository for the online course Hyperparameter Optimization for Machine Learning
  ☆123Updated 9 months ago
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆133Updated 4 months ago
• eugeniaring / Medium-Articles
  Repository with all my blog posts on data science and machine learning learning topics
  ☆80Updated 6 months ago
• ryancheunggit / tabular_dae
  ☆50Updated 2 years ago
• tanujjain / deploy-ml-model
  Deploying a simple machine learning model to an AWS ec2 instance using flask and docker.
  ☆81Updated 6 years ago
• jcborges / DeepStack
  DeepStack: Ensembling Keras Deep Learning Models into the next Performance Level
  ☆38Updated 2 years ago
• Apress / hands-on-time-series-analylsis-python
  Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
  ☆362Updated 4 years ago
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆80Updated 5 years ago
• deepfindr / xai-series
  ☆202Updated 4 years ago
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 5 years ago
• Deffro / Data-Science-Portfolio
  This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…
  ☆81Updated 5 months ago
• cran2367 / deep-learning-and-rare-event-prediction
  Deep Learning and Rare Event Prediction
  ☆45Updated 3 years ago
• Rakeshsuku / Medium-Blog
  Code files for my medium blog
  ☆17Updated 4 years ago
• vinyluis / Articles
  References to the Medium articles
  ☆86Updated 2 years ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆208Updated last month
• dataman-git / codes_for_articles
  ☆180Updated 3 weeks ago
• rasbt / stat451-machine-learning-fs21
  ☆152Updated 3 years ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆466Updated 2 years ago
• Jcharis / Interpreting-Machine-Learning-Models
  Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
  ☆25Updated 3 years ago
• casper-hansen / model-stacking
  Model stacking example on toy dataset using XGBoost, LightGBM and more, combined with mlxtend model stacking.
  ☆21Updated 2 years ago
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆478Updated 2 years ago
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆89Updated last week