linPySp's Stars
uma-pi1/mgfsm
Large scale frequent sequence mining
alessandroaere/ERMiner
ERMiner: Sequential Pattern Mining algorithm for Sequential Rules generation and Event Prediction
ymoch/apyori
A simple implementation of Apriori algorithm by Python.
trainindata/hyperparameter-optimization
Code repository for the online course Hyperparameter Optimization for Machine Learning
trainindata/feature-engineering-for-time-series-forecasting
Code repository for the online course "Feature Engineering for Time Series Forecasting".
solegalli/sktime
A unified framework for machine learning with time series
solegalli/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
solegalli/feature-engineering-for-machine-learning
Code repository for the online course Feature Engineering for Machine Learning
solegalli/machine-learning-interpretability
solegalli/machine-learning-imbalanced-data
Code repository for the online course Machine Learning with Imbalanced Data
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
emarco177/ice_breaker
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
dataman-git/codes_for_articles
analyticalmindsltd/smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
mrdbourke/zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
mrdbourke/tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
georgymh/ml-fraud-detection
Credit card fraud detection through logistic regression, k-means, and deep learning.
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
angelacib/ResponsibleML
Python's FairLearn and Microsoft Research's Explainable Boosting Machine
microsoft/CBM
Cyclic Boosting Machines - an explainable supervised machine learning algorithm
mwaskom/seaborn
Statistical data visualization in Python
krishnaik06/All-Hyperparamter-Optimization
sharmaroshan/Drugs-Recommendation-using-Reviews
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
sharmaroshan/Machine-Learning-Algorithms-with-Pyspark
In this Complete process in machine learning is discussed and done with pyspark .
sharmaroshan/Students-Performance-Analytics
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades
manutompkl/Auto-Insurance-Claim-Fraud-Prediction
Python project on Auto Insurance Claim: Fraud Prediction
rrasheed/CMS-Fraud-Detection
Fraud detection algorithm using Autoencoders and Stacked Autoencoders to detect fraudulent physicians in CMS Part B claims data
sharmaroshan/Fraud-Detection-in-Insurace-Claims
This is a very Important part of Data Science Case Study because Detecting Frauds and Analyzing their Behaviours and finding reasons behind them is one of the prime responsibilities of a Data Scientist. This is the Branch which comes under Anamoly Detection.