Alternatives and similar repositories for Enron-Email-Classification

Users that are interested in Enron-Email-Classification are comparing it to the libraries listed below

• nuzhamusyafira / knn-ga-feature-selection
  An improved KNN using Genetic Algorithm to find best features or predictors.
  ☆12Updated 6 years ago
• zhangbincheng1997 / detect-lstm-model
  detect malicious URL and Request (Bi-LSTM、Bi-LSTM + CNN、CNN + Bi-LSTM、CNN + Bi-LSTM + CNN)
  ☆60Updated 6 years ago
• 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
• 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
• danielgy / Time-Series-Forecasting
  ☆11Updated 6 years ago
• Kanav123 / ArimaAnnHybrid
  Comparisons of ARIMA , ANN and a Hybrid model for Timeseries forecasting
  ☆53Updated 8 years ago
• manohar029 / TimeSeries-Seq2Seq-deepLSTMs-Keras
  This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time se…
  ☆42Updated 6 years ago
• samyak24jain / FuzzyCMeans
  A Python 2 implementation of Fuzzy C Means Clustering algorithm.
  ☆50Updated 4 years ago
• waylongo / Gans-for-anomaly-detection
  Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data
  ☆13Updated 6 years ago
• goodday451999 / Stock-Price-Prediction
  Stock Price Prediction of any Organizations using SVR
  ☆18Updated 5 years ago
• AFAgarap / feed-forward-neural-network
  An implementation of the Multilayer Perceptron for breast cancer detection using the Wisconsin diagnostic dataset.
  ☆10Updated last year
• Shauqi / Attack-and-Anomaly-Detection-in-IoT-Sensors-in-IoT-Sites-Using-Machine-Learning-Approaches
  Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased …
  ☆50Updated 6 years ago
• nachi-hebbar / Time-Series-Forecasting-LSTM
  Time series forecasting using LSTM in Python
  ☆99Updated 10 months ago
• AFAgarap / gru-svm
  [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
  ☆164Updated 2 years ago
• yashjakhotiya / Anomaly-Detection
  UCSD Anomaly Detection Challenge with CNN Autoencoders and 2-layered LSTMs
  ☆11Updated 5 years ago
• tomonori-masui / time-series-forecasting
  Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet
  ☆25Updated 6 months ago
• antoniopaisfernandes / Demand-Forecasting
  This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…
  ☆28Updated 7 years ago
• zhangxu0307 / time-series-forecasting-keras
  time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
  ☆119Updated 6 years ago
• MERYX-bh / Network-intrusion-detection
  GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd
  ☆18Updated 2 years ago
• waico / arimafd
  Popular method ARIMA for outlier detection purposes
  ☆29Updated last year
• sarangkartikey50 / stock-prediction-time-series-analysis
  Performed time series analysis using ARIMA model in python on online retail dataset.
  ☆44Updated 7 years ago
• munirKarsli / Network-Intrusion-Detection-With-Deep-Learning-On-Nsl-Kdd-Dataset
  ☆24Updated 6 years ago
• kimphuctran / Forecasting_Anomaly_Detection_Auto_LSTM
  ☆24Updated 3 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆35Updated 5 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…
  ☆30Updated 5 years ago
• shreyagopal / LSTM-Autoencoder-for-Network-Anomaly-Detection
  Training an LSTM-based autoencoder to detect anomalies in the KDD99 network traffic dataset.
  ☆14Updated 4 years ago
• YanzhangIloveme / Adaptive-Feature-Weighted-K-Means
  This algorithm is based on the paper 'K-Means clustering algorithm Based on Adapative Feature Weighted'
  ☆30Updated 5 years ago
• BLarzalere / LSTM-Autoencoder-for-Anomaly-Detection
  AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow
  ☆212Updated 4 years ago
• ZwEin27 / Hierarchical-Clustering
  Hierarchical Clustering Python Implementation
  ☆72Updated 3 years ago
• sunjoshi1991 / Time-Series-Forecasting-using-LSTM
  Predicting future temperature using univariate and multivariate features using techniques like Moving window average and LSTM(single and …
  ☆61Updated last year