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Lists (31)
A/B Experiments
12 repositories
Anomaly detection
4 repositories
AutoML
3 repositories
Bayesian
4 repositories
Causal
27 repositories
Credit
5 repositories
Data transformation
12 repositories
Database
1 repository
dbt
8 repositories
EDA
5 repositories
Educational
51 repositories
Explainability
5 repositories
Finance
1 repository
Governance
3 repositories
Interview prep
3 repositories
LLM
6 repositories
LTV
1 repository
ML training
Inverted class course content on data analysis and ML with python7 repositories
Mmm
2 repositories
NLP
2 repositories
Org structure
18 repositories
Prompting
6 repositories
Recommendation
2 repositories
Survey
4 repositories
Survival
4 repositories
Tabular learning
18 repositories
Text Clustering
1 repository
Time series
19 repositories
Unsupervised
4 repositories
Uplift modeling
1 repository
Visualization
19 repositories
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Machine Learning Resources, Practice and Research
Open-source demos hosted on Dash Gallery
Make contextual data visualization with Chat Interface from tabular datasets. AI data visualization.
Editing machine learning models to reflect human knowledge and values
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
Automatic Generation of Visualizations and Infographics using Large Language Models
For extensive instructor led learning
The interactive graphing library for Python ✨ This project now includes Plotly Express!
A curated list of awesome Dash (plotly) resources
Bootstrap components for Plotly Dash
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
🏅 Collection of Kaggle Solutions and Ideas 🏅
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
A collection of research papers on decision, classification and regression trees with implementations.
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
A library for debugging/inspecting machine learning classifiers and explaining their predictions
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
Transfer 🤗 Learning for Time Series Forecasting
An extension of LightGBM to probabilistic modelling
mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
Code repository for the online course Feature Selection for Machine Learning
[Experimental] Global causal discovery algorithms
Feature selector is a tool for dimensionality reduction of machine learning datasets
A use-case focused tutorial for time series forecasting with python
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Code repository for the online course Hyperparameter Optimization for Machine Learning
