NIDS-Intrusion-DetectionSimple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
Stars: ✭ 45 (-10%)
MachineLearningImplementations of machine learning algorithm by Python 3
Stars: ✭ 16 (-68%)
sklearn-oblique-treea python interface to OC1 and other oblique decision tree implementations
Stars: ✭ 33 (-34%)
UNSW NB15Feature coded UNSW_NB15 intrusion detection data.
Stars: ✭ 50 (+0%)
ML-For-Beginners12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Stars: ✭ 40,023 (+79946%)
five-minute-midasPredicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit
Stars: ✭ 41 (-18%)
playgroundA Streamlit application to play with machine learning models directly from the browser
Stars: ✭ 48 (-4%)
NimbusML-SamplesSamples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
Stars: ✭ 31 (-38%)
topometryA comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.
Stars: ✭ 64 (+28%)
mloperatorMachine Learning Operator & Controller for Kubernetes
Stars: ✭ 85 (+70%)
ICC-2019-WC-predictionPredicting the winner of 2019 cricket world cup using random forest algorithm
Stars: ✭ 41 (-18%)
osprey🦅Hyperparameter optimization for machine learning pipelines 🦅
Stars: ✭ 71 (+42%)
pyclustertendA python package to assess cluster tendency
Stars: ✭ 38 (-24%)
dbt-ml-preprocessingA SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.
Stars: ✭ 128 (+156%)
booksA collection of online books for data science, computer science and coding!
Stars: ✭ 29 (-42%)
Quora question pairs NLP KaggleQuora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training
Stars: ✭ 17 (-66%)
DS-Cookbook101A jupyter notebook having all most frequent used code snippet for daily data scienceoperations
Stars: ✭ 59 (+18%)
datascienvdatascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Stars: ✭ 53 (+6%)
machine learningA gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering
Stars: ✭ 22 (-56%)
handson-ml도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Stars: ✭ 285 (+470%)
bonsai-dtProgrammable Decision Tree Framework
Stars: ✭ 34 (-32%)
kaggle-titanicTitanic assignment on Kaggle competition
Stars: ✭ 30 (-40%)
A-Detector⭐ An anomaly-based intrusion detection system.
Stars: ✭ 69 (+38%)
machine-learning-capstone-projectThis is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning
Stars: ✭ 28 (-44%)
PyRCNA Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
Stars: ✭ 39 (-22%)
DecisionTreesA python implementation of the CART algorithm for decision trees
Stars: ✭ 38 (-24%)
SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
Stars: ✭ 40 (-20%)
centrifuge-toolkitTool for visualizing and empirically analyzing information encoded in binary files
Stars: ✭ 49 (-2%)
nba-analysisUsing machine learning libraries to analyze NBA data
Stars: ✭ 14 (-72%)
Fraud-Detection-in-Online-TransactionsDetecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
Stars: ✭ 41 (-18%)
doubleml-for-pyDoubleML - Double Machine Learning in Python
Stars: ✭ 129 (+158%)
ML-ATICAbnormal Traffic Identification Classifier based on Machine Learning. My code for undergraduate graduation design.
Stars: ✭ 24 (-52%)
abessFast Best-Subset Selection Library
Stars: ✭ 266 (+432%)
scorubyRuby Scoring API for PMML
Stars: ✭ 69 (+38%)
converseConversational text Analysis using various NLP techniques
Stars: ✭ 147 (+194%)
Football Prediction ProjectThis project will pull past game data from api-football, and use these statistics to predict the outcome of future premier league matches through machine learning.
Stars: ✭ 44 (-12%)
clinicaSoftware platform for clinical neuroimaging studies
Stars: ✭ 153 (+206%)
sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
Stars: ✭ 31 (-38%)
TheBriarPatchAn extremely crude, lightweight Web Frontend for Suricata/Bro to be used with BriarIDS
Stars: ✭ 21 (-58%)