Alternatives and similar repositories for Imbalanced-Data-with-SMOTE-Techniques

Users that are interested in Imbalanced-Data-with-SMOTE-Techniques are comparing it to the libraries listed below

• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆179Updated 7 months ago
• bibtissam / LSTM-Attention-FraudDetection
  Enhanced Credit Card Fraud Detection based on Attention mechanism and LSTM deep Model
  ☆41Updated 3 years ago
• sowmyacr / kmeans_cluster
  Customer segmentation using k-means clustering in python
  ☆58Updated 6 years ago
• BLarzalere / LSTM-Autoencoder-for-Anomaly-Detection
  AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow
  ☆213Updated 4 years ago
• anujdutt9 / Feature-Selection-for-Machine-Learning
  Methods with examples for Feature Selection during Pre-processing in Machine Learning.
  ☆364Updated 5 years ago
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆323Updated 8 months ago
• cran2367 / deep-learning-and-rare-event-prediction
  Deep Learning and Rare Event Prediction
  ☆46Updated 3 years ago
• yasamanensafi / retail_store_sales_forecasting
  Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…
  ☆31Updated 5 years ago
• dhamvi01 / Multivariate-Time-Series-Using-LSTM
  ☆26Updated 5 months ago
• bhattbhavesh91 / imbalance_class_sklearn
  Address imbalance classes in machine learning projects.
  ☆36Updated 4 years ago
• limingwu8 / Predictive-Maintenance
  time-series prediction for predictive maintenance
  ☆51Updated 6 years ago
• Vicam / Unsupervised_Anomaly_Detection
  A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the differ…
  ☆123Updated 7 years ago
• lestercardoz11 / fault-detection-for-predictive-maintenance-in-industry-4.0
  This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
  ☆130Updated 4 years ago
• Apress / beginning-anomaly-detection-using-python-based-dl
  Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari
  ☆84Updated 5 years ago
• bits-bytes-nn / mofc-demand-forecast
  Time Series Forecasting for the M5 Competition
  ☆40Updated 3 years ago
• javaidnabi31 / Multi-class-with-imbalanced-dataset-classification
  Multi-class with imbalanced dataset classification
  ☆84Updated 6 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…
  ☆264Updated 2 years ago
• deKeijzer / Multivariate-time-series-models-in-Keras
  This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) tim…
  ☆139Updated 6 years ago
• avirichie / Customer-Segmentation-using-Unsupervised-Learning
  This project shows how to perform customers segmentation using Machine Learning algorithms. Three techniques will be presented and compar…
  ☆9Updated 4 years ago
• ashishpatel26 / Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
  Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
  ☆122Updated 7 years ago
• fernandodecastilla / Machine-Learning-for-Predictive-Maintenance
  Anomaly detection and failure prognosis applied to industrial machines
  ☆28Updated 6 years ago
• benman1 / time-series
  Time-Series models for multivariate and multistep forecasting, regression, and classification
  ☆62Updated 3 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 6 months ago
• Isaacburmingham / multivariate-time-series-anomaly-detection
  Analyzing multiple multivariate time series datasets and using LSTMs and Nonparametric Dynamic Thresholding to detect anomalies across va…
  ☆21Updated 3 years ago
• Ritam-Guha / Py_FS
  A Python Package for Feature Selection
  ☆65Updated 2 years ago
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆80Updated 5 years ago
• Jcharis / Interpreting-Machine-Learning-Models
  Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
  ☆25Updated 3 years ago
• advaitsave / Introduction-to-Time-Series-forecasting-Python
  Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast eva…
  ☆326Updated 6 years ago
• disojn / Time-Series-EDA-and-Forecast
  In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data cont…
  ☆29Updated 5 years ago
• ernestng11 / touchpoint-prediction
  Completed Project - Predicting customer touchpoint using XGBoost tuned with GridSearchCV
  ☆19Updated 4 years ago