Build software better, together

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
Jupyter Notebook

farhad-pourkamali / machine-learning

Star

Slides and Python code examples for undergraduate machine learning

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

Updated Apr 17, 2022
Jupyter Notebook

Hashehri / Network-Traffic-Classification-UNSW-NB15

Star

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
Jupyter Notebook

7cb15 / Predicting-Crime-in-Toronto

Star

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

pitmonticone / PlantDiseaseClassification

Sponsor

Star

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
HTML

AhsanAyub / irp-driven-ransomware-analysis

Star

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

rochitasundar / Predictive-maintenance-cost-minimization-using-ML-ReneWind

Star

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
Jupyter Notebook

amdp-chauhan / complete-deployable-ml-solution

Star

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
Jupyter Notebook

Coursera-Students-Community / Deep-Learning-Specialization

Star

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
HTML

insilico / privateEC

Star

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
R

rudrajit1729 / Machine-Learning-Codes-And-Templates

Star

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

Star

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