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Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have the potentials to become a serious threat to the network.

machine-learning ai deep-learning random-forest sklearn python3 logistic-regression pickle network-analysis network-security classification-algorithims knn-classification voting-classifier xgboost-algorithm stacking-ensemble decsion-tree

Updated Dec 19, 2021
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lucko515 / breast-cancer-classification

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This project is to test classification algorithms wrote from scratch in python using only numpy. Algorithms wrote in this project: KNN, Logistic Regression and Naive Bayes classifier.

machine-learning classification breast-cancer-wisconsin classification-algorithims

Updated Jul 23, 2017
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farhad-pourkamali / machine-learning

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Slides and Python code examples for undergraduate machine learning

data-science machine-learning clustering classification-algorithims regression-algorithms

Updated Apr 17, 2022
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pitmonticone / PlantDiseaseClassification

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Dataset Analysis & CNN Models Optimization for Plant Disease Classification.

computer-science data-science deep-neural-networks computer-vision deep-learning neural-network neural-networks convolutional-neural-networks classification-algorithims plant-disease-detection plant-pathology-fgvc7 plant-disease-classification

Updated Nov 12, 2021
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rochitasundar / Predictive-maintenance-cost-minimization-using-ML-ReneWind

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The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.

pipeline cross-validation classification-algorithims sklearn-metrics randomizedsearchcv train-validation-test smote-sampling random-under-sampling

Updated Jan 20, 2022
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7cb15 / Predicting-Crime-in-Toronto

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Multi-class classification model for predicting the types of crimes in Toronto

python data-science machine-learning scikit-learn pandas classification-algorithims urban-analytics crime-prediction

Updated Mar 4, 2024
Python

amdp-chauhan / complete-deployable-ml-solution

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API-First approach to make Machine Learning solution usable

restful venv flask-backend api-first titanic-survival-prediction classification-algorithims machine-learning-projects

Updated Jan 26, 2019
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AhsanAyub / irp-driven-ransomware-analysis

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This repo is created to perform I/O Request Packet (IRP) driven ransomware analysis where the IRP logs were collected during ransomware execution.

data-science machine-learning ransomware time-series-analysis classification-algorithims ransomware-detection ransomware-mitigation pattern-mining sequence-mining

Updated Aug 14, 2020
Python

Coursera-Students-Community / Deep-Learning-Specialization

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Coursera - Deep Learning Specialization - deeplearning.ai

deep-learning neural-network tensorflow keras coursera recurrent-neural-networks batch-normalization convolutional-neural-networks gradient-descent hyperparameter-tuning andrew-ng classification-algorithims mini-batch-gradient-descent neural-style-transfer deeplearning-ai yolov3 machine-learning-case-study

Updated Apr 9, 2019
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insilico / privateEC

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An R package for Private Evaporative Cooling feature selection and classification with Relief-F and Random Forests

randomforest classification-algorithims relief-f evaporativecooling

Updated May 20, 2020
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soumya9988 / IBM_Data_Science

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Git repository for IBM Professional Certification on Data Science

data-science jupyter-notebook coursera data-visualization python3 data-analysis ibm kmeans-clustering coursera-data-science classification-algorithims regression-algorithms data-scientist

Updated Jan 1, 2020
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rudrajit1729 / Machine-Learning-Codes-And-Templates

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Codes and templates for ML algorithms created, modified and optimized in Python and R.

feature-selection datascience feature-extraction thompson-sampling dimensionality-reduction ucb ann regression-models nlp-machine-learning kmeans-clustering apriori-algorithm hierarchical-clustering classification-algorithims parameter-tuning regression-algorithms xgboost-model kfold-cross-validation cnn-classification eclat-algorithm

Updated Mar 28, 2020
Python

barzansaeedpour / machine-learning-roadmap-with-examples

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This repository contains a roadmap with examples for machine learning, providing a step-by-step guide to help you navigate the field and acquire the necessary knowledge and skills

machine-learning roadmap neural-network machine-learning-algorithms supervised-learning semi-supervised-learning unsupervised-learning classification-algorithims clustering-methods machine-learning-roadmap