sckit-learn

There are 4 repositories under sckit-learn topic.

ayyucedemirbas / machine_learning_algorithms
Machine learning fundamentals
data-science hacktoberfest keras machine-learning pytorch sckit-learn tensorflow
Language:Jupyter Notebook 38
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 36
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.
cmake computer-vision cpp image-processing opencv python sckit-learn tensorflow yolov3
Language:Python 18
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 14
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 13
mint-lab / dl_tutorial
Machine Learning and Deep Learning Tutorial
deep-learning dl machine-learning ml pytorch sckit-learn
13
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 12
ckacquah / House-Price-Prediction
A web application built with python and flask to make use of pre-trained machine learning models to predict house prices
python python3 sckit-learn machine-learning house-price-prediction flask kaggle kaggle-dataset jupyter-notebook
Language:Python 11
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 9
cheukhin1024 / Financial-Data-Project-in-Azure
Free High-Quality Financial Data in Azure
apache-spark azure azure-databricks database delta-lake financial-data mlflow python sckit-learn sparkml
Language:Python 8
dineshyadav3169 / machine-learning
Machine Learning Projects in Python. Examples of popular machine learning algorithms with interactive Jupyter code explained
classification-algorithm clustering deep-learning deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms regression-algorithms sckit-learn super supervised-learning unsupervised-learning
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
gesiscss / sexism_custom_classifier
Custom classifiers to detect sexist language.
sexism-detection natural-language-processing nlp sckit-learn bert
Language:Jupyter Notebook 6
mervegundogmus / IBM_Machine_Learning_with_Python
machine-learning python sckit-learn
Language:Jupyter Notebook 6
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 5
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
JohannaRangel / Proyecto_Individual_1_MLOps
LABS Proyecto Individual: MVP Steam - Rol: MLOps Engineer | Bootcamp Henry: Carrera Data Science | Cohorte DataFT 17
countervector fastapi machine-learning matplotlib nltk-python numpy pandas python render sckit-learn seaborn sentiment-analysis
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
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 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 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
MayumyCH / video_game_sales_with_ratings
Este proyecto ha sido desarrollado utilizando modelos de ML - Modelo de Predicción 📈🐍. Se busca predecir las ventas de videojuegos (Género de Acción) 🎮🤖
data-analysis data-science data-visualization dataset fastapi machine-learning mayu-ml modelos-predictivos python sckit-learn streamlit
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
ooutama / spam-detector
A Spam Detector Project
laravel api-rest flask python vuejs php sckit-learn training ai
Language:PHP 3
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.
constrained-clustering geocoding geolocation-data geopandas kmeans-clustering sckit-learn
Language:Jupyter Notebook 3
A-DONALD / AI-Classifier
implementation of of a program who classify text documents into classes according to their content - Machine learning
machine-learning sckit-learn
Language:Python 2
abd1bayev / Python-and-Data-Science-through-the-Qwasar-platform
A great program for those just starting out in programming. There are various problems, challenges and interesting projects. Consolidating knowledge and gaining experience in Python is the dream of every programmer.
data-analysis-python data-science data-structures data-structures-and-algorithms data-visualization database flask machine-learning matplotlib numpy pandas plotly python qwasar-silicon-valley sckit-learn seaborn sql
Language:Jupyter Notebook 2
Anaiya798 / Skillfactory
Training data science projects
data-analysis data-science machine-learning jupyter-notebook matplotlib numpy pandas plotly postgresql python sckit-learn
Language:Jupyter Notebook 2
hedzd / AUT-Datamining-projects
Projects and practical assignments for data mining course at AUT, spring 2022. Projects contain main topics in data mining, such as data preprocessing, clustering, classification and assosiation rules.
association-rules data-mining k-means preprocessing sckit-learn tensorflow xgboost-classifier
Language:Jupyter Notebook 2
KareimGazer / Classify-Cifar-100
classifying CIFAR-100 data set using MCSVM and Deep Conv Net
cifar100 classification convolutional-neural-networks deep-learning feature-extraction image-classification machine-learning neural-network neural-networks pca python sckit-learn tensorflow
Language:Jupyter Notebook 2
Lacerdash / Nested-Cross-Validation
Using scikit-learn RandomizedSearchCV and cross_val_score for ML Nested Cross Validation
cross-validation cross-validation-score hyperparameter-tuning machine-learning nested-cross-validation randomizedsearchcv sckit-learn vitrinedev
Language:Jupyter Notebook 2
lyesds / churn_prediction
Model bank customers behaviour. Publish findings on an online dashboard.
machine-learning classification clustering sckit-learn churn bank credit-card crm streamlit dashboard
Language:Python 2
masanbasa3k / Machine_Learning
My all machine learning projects
classification data-science data-visualization eda knn-classification python random-forest sckit-learn
Language:Jupyter Notebook 2
mohammadtavakoli78 / Data-Mining
This is projects of Data Mining
association-rules classification-report classification-reports confusion-matrix convolutional-neural-network convolutional-neural-networks datamining datamining-algorithms dbscan fashion-mnist gridsearchcv kmeans make-circles neural-network neural-networks pandas preprocessing sckit-learn xgboost xgboost-classifier
Language:Jupyter Notebook 2
SaidiAnass / Classification-E.coli
Classification using Decision Tree & KNN
decision-tree jupyter-notebook knn-classification python sckit-learn
Language:Jupyter Notebook 2
Vishnu-Kota / H-M-recommendation-system
A recommendation system created for H&M created with the help of EDA(Exploratory Data Analysis) and ALS (Alternative Least Squares) which optimizes a users recommendations taking into considerations an account`s view history and uses matrix optimization to give the best possible recommendations.
als artificial-intelligence artificial-neural-networks boxplot eda labelencoding machine-learning matplotlib neural-networks onehot-encoding pandas python sckiit-learn sckit-learn seaborn tensorflow
Language:Jupyter Notebook 2

sckit-learn

ayyucedemirbas / machine_learning_algorithms

Dan-Boat / PyESD

Elkinmt19 / computer-vision-dojo

LegolasVzla / django-twitter-spark

gympohnpimol / Last-Mile-Logistics

mint-lab / dl_tutorial

duongttr / mllib-from-scratch

ckacquah / House-Price-Prediction

mj703 / Fashion-Recommendation-System

cheukhin1024 / Financial-Data-Project-in-Azure

dineshyadav3169 / machine-learning

Dhruv-0001 / Shoe-Hype

gesiscss / sexism_custom_classifier

mervegundogmus / IBM_Machine_Learning_with_Python

DataSpieler12345 / python-for-ds-ml

shanathvemula / framework_for_superwised_prediction

JohannaRangel / Proyecto_Individual_1_MLOps

MayumyCH / factored_datasciencefem_training

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

Kalebu / SPAM-FILTER-USING-MACHINE-LEARNING

mandeebot / Predictive-Maintainance

MayumyCH / video_game_sales_with_ratings

milenamatos / artificial_intelligence

ooutama / spam-detector

zakariamejdoul / customer_geolocation_data_clustering

A-DONALD / AI-Classifier

abd1bayev / Python-and-Data-Science-through-the-Qwasar-platform

Anaiya798 / Skillfactory

hedzd / AUT-Datamining-projects

KareimGazer / Classify-Cifar-100

Lacerdash / Nested-Cross-Validation

lyesds / churn_prediction

masanbasa3k / Machine_Learning

mohammadtavakoli78 / Data-Mining

SaidiAnass / Classification-E.coli

Vishnu-Kota / H-M-recommendation-system