sckit-learn

There are 4 repositories under sckit-learn topic.

Dan-Boat / PyESD
Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.
machine-learning tensorflow2 sckit-learn precipitation downscaling ensemble-machine-learning deep-learning
Language:Python 56
ayyucedemirbas / machine_learning_algorithms
Machine learning fundamentals
machine-learning sckit-learn tensorflow keras pytorch data-science hacktoberfest
Language:Jupyter Notebook 39
mj703 / Fashion-Recommendation-System
A Deep Learning based Fashion Recommendation System using the ResNET50
cnn deep-learning machine-learning opencv sckit-learn transfer-learning
Language:Python 22
Elkinmt19 / computer-vision-dojo
This is a repository to learn and get more computer vision skills, make robotics projects integrating the computer vision as a perception tool and create a lot of awesome advanced controllers for the robots of the future.
python cpp cmake opencv tensorflow sckit-learn yolov3 image-processing computer-vision
Language:Python 20
gympohnpimol / Last-Mile-Logistics
cplex cplex-optimization-solver cplex-tutorial k-means-clustering nni sckit-learn python matplotlib pandas numpy delivery-service optimization vrptw cvrp vrp lastmile-delivery lastmile mathematical-programming exact-algorithm
Language:Python 17
LegolasVzla / django-twitter-spark
Thesis project: topic categorization and sentiment analysis on twitter with Apache Spark
python3 django django-rest-framework tweepy pyspark sentiment-analysis topic-classification word-cloud nltk apache-spark apache-zookeeper swagger sckit-learn react react-hooks react-bootstrap
Language:Python 16
mint-lab / dl_tutorial
Machine Learning and Deep Learning Tutorial
deep-learning dl machine-learning ml pytorch sckit-learn
16
duongttr / mllib-from-scratch
Building a Machine Learning Library from scratch using Python3, based on SOTA library Scikit-learn
from-scratch machine-learning python sckit-learn
Language:Python 15
NhanPhamThanh-IT / Salary-Prediction-Streamlit-App
🚀 Complete ML Project: Salary Prediction using Linear Regression & Streamlit. 95.6% accuracy, interactive web interface, clean dataset, pre-trained model. Perfect for learning ML, web development, and practical HR applications.
artificial-intelligence data-preprocessing data-visualization dataset learning-material linear-regression machine-learning matplotlib ml-algorithms model-evaluation model-training pandas prediction prediction-system r2-score salary-prediction sckit-learn streamlit streamlit-webapp web-application
Language:Jupyter Notebook 15
NhanPhamThanh-IT / Logistic-Regression-Heart-Disease-Prediction
🫀 A machine learning project using logistic regression to predict heart disease risk from clinical data. Built with Python, scikit-learn, and Jupyter notebooks. Achieves 85%+ accuracy on 303-patient dataset with 13 medical features. Complete ML pipeline from data exploration to model evaluation.
accuracy-score artificial-intelligence classification dataset heart-disease heart-disease-prediction jupyter-notebook learning-material logistic-regression-algorithm machine-learning machine-learning-algorithms numpy pandas python sckit-learn supervised-learning train-test-split
Language:Jupyter Notebook 14
cheukhin1024 / Financial-Data-Project-in-Azure
Free High-Quality Financial Data in Azure
azure-databricks apache-spark python delta-lake azure sckit-learn database financial-data mlflow sparkml
Language:Python 12
venkat-0706 / Titanic-Survival-Prediction
A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.
classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost
Language:Jupyter Notebook 10
arpitamangal / pharma-scrape-and-analysis
Improve access to healthcare services and reduce costs.
exploratory-data-analysis genism k-means-clustering linear-regression sckit-learn word2vec
Language:Jupyter Notebook 7
DataSpieler12345 / python-for-ds-ml
My Python learning experience 📚🖥📳📴💻🖱✏
beautifulsoup matplotlib-pyplot numpy-library pandas-library scipy sckit-learn seaborn scikitlearn-machine-learning machine-learning-algorithms anova-analysis monte-carlo-methods t-distribution anova-test matplotlib randomforestclassifier randomforestregressor polynomial-regression ridge-regression lasso-regression nltk-python
Language:Jupyter Notebook 7
dineshyadav3169 / machine-learning
Machine Learning Projects in Python. Examples of popular machine learning algorithms with interactive Jupyter code explained
machine-learning deep-neural-networks deep-learning machine-learning-algorithms jupyter-notebook classification-algorithm regression-algorithms clustering sckit-learn super supervised-learning unsupervised-learning
Language:Jupyter Notebook 7
gesiscss / sexism_custom_classifier
Custom classifiers to detect sexist language.
sexism-detection natural-language-processing nlp sckit-learn bert
Language:Jupyter Notebook 7
Dhruv-0001 / Shoe-Hype
A shoe👟 recommendation website.
cnn-keras resnet-50 sckit-learn dataextraction recommender-system python3
Language:Python 6
mervegundogmus / IBM_Machine_Learning_with_Python
python machine-learning sckit-learn
Language:Jupyter Notebook 6
zakariamejdoul / customer_geolocation_data_clustering
We use our customer geolocation data to perform a clustering algorithm to get several clusters in which the member data of each cluster are closest to each other using KMeans and Constrained-KMeans Algorithms.
kmeans-clustering constrained-clustering sckit-learn geolocation-data geocoding geopandas
Language:Jupyter Notebook 6
shanathvemula / framework_for_superwised_prediction
This is the framework for supervised algorithms in mechine learning
python django sckit-learn supervised-learning-algorithms decision-tree-classifier support-vector-machines neural-network bootstrap4 django-file-upload static-files media-files preprocessing drop-function matplotlib numpy-arrays pandas k-nearest-neighbours logistic-regression neural-networks
Language:JavaScript 5
ChandanaGiridhar / Rock_vs_mine_prediction
Machine Learning Project
python googlecolab numpy pandas sckit-learn machine-learning logistic-regression machinelearning-python machine-learning-algorithms prediction-model
Language:Jupyter Notebook 4
JohannaRangel / Proyecto_Individual_1_MLOps
LABS Proyecto Individual: MVP Steam - Rol: MLOps Engineer | Bootcamp Henry: Carrera Data Science | Cohorte DataFT 17
countervector machine-learning nltk-python python fastapi matplotlib numpy pandas render sckit-learn seaborn sentiment-analysis
Language:Jupyter Notebook 4
Kalebu / SPAM-FILTER-USING-MACHINE-LEARNING
A python code to training your own spam filter in Python
machine-learning spam-sms spam-filter python3 python-projects machine-learning-algorithms nlp sckit-learn
Language:Jupyter Notebook 4
LynnFernandes23 / Housing-Price-Prediction-System
The House Price Prediction System is a comprehensive project aimed at predicting housing prices based on various attributes using advanced data analysis and machine learning techniques.
linear-regression matplotlib pandas sckit-learn mean-square-error seaborn
Language:Jupyter Notebook 4
MayumyCH / factored_datasciencefem_training
Repositorio del Training realizado por Factored. "Aprender como entrenar y desplegar modelos de ML" 📈🐍
colab-notebook data-analytics datascienciefem jupyter-notebook matplotlib numpy pandas python sckit-learn seaborn
Language:Jupyter Notebook 4
Mayur-Debu / Final_Year_Project
This is a python Flask web app made to predict the house prices based on attributes like no. of rooms, parking facility, etc. The prediction algorithm used at the backend is 'Linear Regression'.
machine-learning python3 flask flask-application html css linear-regression opensource sckit-learn numpy pandas
Language:Python 4
Amanbig / machine-learning
This repository contains various machine learning regression models implemented in Python. Each sub-directory represents a different regression algorithm, complete with its dataset, trained model, and a Jupyter Notebook demonstrating the implementation.
lightgbm numpy pandas python3 sckit-learn xgboost
Language:Jupyter Notebook 3
CamilaJaviera91 / Sales-Prediction-Using-PostgreSQL
This project is designed to extract sales data from a PostgreSQL database, process it, and use a Random Forest model to predict sales quantities. It also visualizes real and predicted sales for better understanding.
locale matplotlib mean-square-error operationalerror pandas postgresql psycopg2 python random-forest sckit-learn seaborn train-test-split
Language:Python 3
cyberhub2025 / CyberDefenseX_demo
CyberDefenseX – ML and Blockchain powered automated SIEM and SOAR platform
fastapi flask numpy pandas python reactjs scapy sckit-learn solidity sqlite web3
Language:JavaScript 3
debjitpurohit / BrainTumor_Classification_Native_App
it is an Deep-Learning Based Brain Tumor Detection Reactnative App. Simply Upload a brain MRI photo and it gonna tell you What type of tumor your brain have (pituitary ,meningioma,glioma) or having Healthy Brain(no_tumor)
flask keras numpy opencv pandas sckit-learn seaborn tensorflow vgg16 react-native reactnativepaper kaggle brain-tumor-classification brain-tumor-detection brain-tumor-segmentation braintumorclassification
Language:JavaScript 3
flexycode / CCMACLRL_PROJECT
🤖 This repository is intended for our Machine Learning Project CCMACLRL COM231ML by Professor Elizer Ponio Jr
machine-learning machine-learning-algorithms ml-engineering ml-ops ml-pipeline sckit-learn
Language:Jupyter Notebook 3
kudzaiprichard / coin-compass
A microservice API for predicting cryptocurrency via machine learning model
binance binance-api cryptocurrency flask jason-web-tokens java machine-learning microservice pandas python sckit-learn seaborn sklearn springboot zipkin zipkin-sleuth
Language:Jupyter Notebook 3
mandeebot / Predictive-Maintainance
This repo attempts to utilise two powerful ensemble models, Random forest and Gradient Boosting to Predict the failure patterns of wind energy machinery
machine-learning sckit-learn random-forest gradient-boosting renewable-energy predictive-maintenance
Language:Jupyter Notebook 3
milenamatos / artificial_intelligence
Código desenvolvidos durante curso na disciplina Inteligência Artificial, na UNIFESP.
ai java machine-learning python sckit-learn
Language:Jupyter Notebook 3
Paul-Andrew-15 / ICC-2023-Worldcup-prediction
Predicting the champion of the 2023 Cricket World Cup through the implementation of the Random Forest algorithm.
algorithms artificial-intelligence cricket datasets jupyter-notebook knearest-neighbors machine-learning naive-bayes-algorithm random-forest sckit-learn support-vector-machines worldcup2023
Language:Jupyter Notebook 3
V-Marco / ACT
Automatic Cell Tuner
allensdk biophysical neuron neuroscience-methods sckit-learn single-cell tuning
Language:Jupyter Notebook 3

sckit-learn

Dan-Boat / PyESD

ayyucedemirbas / machine_learning_algorithms

mj703 / Fashion-Recommendation-System

Elkinmt19 / computer-vision-dojo

gympohnpimol / Last-Mile-Logistics

LegolasVzla / django-twitter-spark

mint-lab / dl_tutorial

duongttr / mllib-from-scratch

NhanPhamThanh-IT / Salary-Prediction-Streamlit-App

NhanPhamThanh-IT / Logistic-Regression-Heart-Disease-Prediction

cheukhin1024 / Financial-Data-Project-in-Azure

venkat-0706 / Titanic-Survival-Prediction

arpitamangal / pharma-scrape-and-analysis

DataSpieler12345 / python-for-ds-ml

dineshyadav3169 / machine-learning

gesiscss / sexism_custom_classifier

Dhruv-0001 / Shoe-Hype

mervegundogmus / IBM_Machine_Learning_with_Python

zakariamejdoul / customer_geolocation_data_clustering

shanathvemula / framework_for_superwised_prediction

ChandanaGiridhar / Rock_vs_mine_prediction

JohannaRangel / Proyecto_Individual_1_MLOps

Kalebu / SPAM-FILTER-USING-MACHINE-LEARNING

LynnFernandes23 / Housing-Price-Prediction-System

MayumyCH / factored_datasciencefem_training

Mayur-Debu / Final_Year_Project

Amanbig / machine-learning

CamilaJaviera91 / Sales-Prediction-Using-PostgreSQL

cyberhub2025 / CyberDefenseX_demo

debjitpurohit / BrainTumor_Classification_Native_App

flexycode / CCMACLRL_PROJECT

kudzaiprichard / coin-compass

mandeebot / Predictive-Maintainance

milenamatos / artificial_intelligence

Paul-Andrew-15 / ICC-2023-Worldcup-prediction

V-Marco / ACT