This repo contains projects, tasks and other code which I have developed on a Data Scientist course at SkillFactory.
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Updated
May 29, 2024 - Jupyter Notebook
This repo contains projects, tasks and other code which I have developed on a Data Scientist course at SkillFactory.
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
JuliaGrid is an easy-to-use power system simulation tool for researchers and educators provided as a Julia package.
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Best for beginners | Well explained ML algorithms | organized Notebooks | Case Studies
Deep learning-based outlier/anomaly detection
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
FRASER - Find RAre Splicing Events in RNA-seq
RedBorder Outliers Detector with Keras
SERoW Framework for N Legged Robot Walking Estimation
Time series processing library
ML powered analytics engine for outlier detection and root cause analysis.
Client interface for all things Cleanlab Studio
SimAD, deep learning, anomaly detection, outlier detection, time series
PatchAD, deep learning, anomaly detection, outlier detection, time series
Data science include Data Analysis, Machine learning , EDA,PCA and Data Structure and Algorithms
Collection of operational time series ML models and tools
The DOMID (Detecting Outliers in MIxed-type Data) R package includes functions that can be used for detecting outliers in data sets consisting of mixed-type data (i.e. both continuous and discrete variables).
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