scikit-learn | Ecosyste.ms: Awesome

https://github.com/saswatamcode/datascienceapi

This is a RESTful API built using Flask and Scikit-Learn. It provides a host of Classification and Regression algorithms that can be used readily and returns results in the form of predictions, confusion matrices, accuracy scores and more.

api flask ml python3 scikit-learn

Last synced: 13 Oct 2024

https://github.com/karimosman89/energy-consumption-forecasting

Predict future energy consumption based on historical data.Create a model that predicts energy consumption in households or businesses to optimize energy distribution and reduce costs.Assist energy companies in planning and managing supply efficiently.

arima lstm matplotlib pandas python scikit-learn

Last synced: 01 Nov 2024

https://github.com/karimosman89/customer-churn-prediction

Predict which customers are likely to stop using a service.Build a model to predict which customers are likely to stop using a service or product. This can help companies take proactive measures to retain customers.Provide actionable insights and retention strategies based on the model’s predictions.

matplotlib-pyplot pandas python scikit-learn seaborn

Last synced: 01 Nov 2024

https://github.com/roovedot/house-price-predictions-with-random-forest-regression-model

Applying Machine Learning Regression Model to Predict Housing Prices for Kaggle "Housing Prices Competition for Kaggle Learn Users".

machine-learning pandas random-forest-regression scikit-learn

Last synced: 01 Nov 2024

https://github.com/shahzaibdev355/house-recommendation-backend

House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.

flask flask-api flask-cors numpy pandas scikit-learn tensorflow

Last synced: 31 Oct 2024

https://github.com/fahrettinsolak/ai-map-based-geographic-clustering-project

This project focuses on clustering crime incidents in San Francisco using the K-Means algorithm. The dataset is obtained from Kaggle and contains information about crime types, geographical coordinates, and other relevant features. The goal is to identify crime hotspots through geographic clustering and visualize the clusters on an interactive map.

artificial-intelligence deep-learning elbow-method jupyter-notebook machine-learning numpy openstreetmap pandas phyton plotly scikit-learn standardscaler

Last synced: 17 Oct 2024

https://github.com/manojpatra1991/machine-learning-engineer-nanodegree

Machine Learning Engineer Nanodegree Projects - My Submissions

adaboost csv-files decision-tree html jupyter-notebook linear-regression machine-learning machine-learning-algorithms machine-learning-nanodegree naive-bayes-classifier python3 scikit-learn support-vector-machine

Last synced: 06 Nov 2024

https://github.com/presizhai/iris-predictor-fastapi

A web application for predicting the species of Iris flowers using a machine learning model trained with the Iris dataset, with FastAPI, a modern web framework for building APIs.

essemblelearning fastapi python random-forest-classifier scikit-learn uvicorn

Last synced: 01 Nov 2024

https://github.com/dinhanhx/determination

Scripts to set global random for some machine learning framework

determination deterministic keras pytorch randomness scikit-learn tensorflow2

Last synced: 14 Oct 2024

https://github.com/g4brielvs/data-science-playground

Collection of data science and visualization exercises

boston-housing-dataset introduction-to-data-science plotly scikit-learn tensorflow

Last synced: 14 Oct 2024

https://github.com/bsamseth/triangular-regressor

A scikit-learn compatible implementation of a 2D triangular regressor.

scikit-learn triangulation

Last synced: 25 Oct 2024

https://github.com/djdhairya/satellite-imagery

cnn deep-learning dice-loss jaccard-coefficient keras minmaxscaling numpy opencv pandas patchify pillow scikit-learn segmentation tensorflow transformer

Last synced: 31 Oct 2024

https://github.com/messierandromeda/sentiment-analysis

Sentiment analysis with the IMDB movie review dataset.

imdb-dataset python scikit-learn sentiment-analysis

Last synced: 10 Oct 2024

https://github.com/fgebhart/handson-ml

hands-on machine learning notebooks collection

jupyter-notebook machine-learning scikit-learn

Last synced: 11 Oct 2024

https://github.com/yuweaec/wine_quality_prediction

The Wine Quality Prediction project aims to predict the quality of wine based on its chemical properties using machine learning algorithms.

flask jupyter-notebook machine-learning python scikit-learn

Last synced: 31 Oct 2024

https://github.com/dionixius7/titanic-disaster-ml-model

This project predicts the survival of passengers on the Titanic by using Kaggle Titanic Disaster Dataset. The dataset contains information related to passengers, such as age, gender, and class. Different machine learning algorithms have been applied for this predictive model to accomplish an accurate prediction that will define the survival chances

data-analysis data-science data-visualization eda knn-classifier machine-learning neural-network python scikit-learn svm tensorflow titanic-kaggle titanic-survival-prediction

Last synced: 12 Oct 2024

https://github.com/tapas-gope/telecommunication-customer-churn

This project involves predicting customer churn in a telecommunications company using machine learning techniques, exploring various features' impact, optimizing models, and identifying key factors influencing churn.

feature-engineering matplotlib-pyplot model-evaluation-and-validation numpy pandas python scikit-learn

Last synced: 31 Oct 2024

https://github.com/lucs1590/commom_segmentations

The purpose of this repository is to document and expose code samples using common threading techniques.

computational-vision machine-learning open-source opencv python scikit-image scikit-learn segmentation sklearn

Last synced: 11 Oct 2024

https://github.com/peterchain/titanic

Script for the Titanic dataset for evaluating which passengers survived

kaggle machine-learning pandas-dataframe python3 scikit-learn

Last synced: 19 Oct 2024

https://github.com/jianninapinto/bandersnatch

This project implements a machine learning model using Random Forest, XGBoost, and Support Vector Machines algorithms with oversampling and undersampling techniques to handle imbalanced classes for classification tasks in the context of predicting the rarity of monsters.

altair imbalanced-classification imblearn machine-learning mongodb oversampling pycharm-ide pymongo python random-forest-classifier scikit-learn smote support-vector-machines undersampling xgboost

Last synced: 26 Sep 2024

https://github.com/abhipatel35/diabetes_ml_classification

Predict diabetes using machine learning models. Experiment with logistic regression, decision trees, and random forests to achieve accurate predictions based on health indicators. Complete lifecycle of ML project included.

classification data-analysis data-science data-visualization descision-tree diabetes-prediction jupiter-notebook logistic-regression machine-learning model-evaluation open-source pandas pycharm-ide python random-forest scikit-learn

Last synced: 31 Oct 2024

https://github.com/shahaba83/airplane-ticket-cancellation

In this project, we try to predict the possibility of canceling the plane ticket by the buyer

datatime numpy pandas python scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/merekat/ml-shortcut-library

A Visual Studio Code shortcut library designed to simplify and accelerate machine learning development.

cnn coding data-science deep-learning efficiency extension extensions fnn machine-learning machinelearning nlp numpy pandas python scikit-learn shortcut shortcuts tensorflow visual-studio visual-studio-code

Last synced: 05 Nov 2024

https://github.com/rakibhhridoy/customersegmentation-clustering

Customer segmentation heavily use in business purpose. It is needed skill for business intelligence and applied machine learning engineer. This represent quite basic way the customer segmentation is done. In python the task is quite easy to do.

agglomerative-clustering clustering-algorithm customer ecommerce kmeans-clustering machine-learning scikit-learn scikitlearn-machine-learning segmentation unsupervised-learning unsupervised-machine-learning

Last synced: 06 Nov 2024

https://github.com/lemma-osu/sknnr

scikit-learn compatible estimators for various kNN imputation methods

classification gnn gradient-nearest-neighbor imputation k-nearest-neighbor knn most-similar-neighbor msn random-forest-nearest-neighbor regression rfnn scikit-learn sklearn-estimator

Last synced: 14 Oct 2024

https://github.com/pransu-code/marathonprediction

Case-based Time Prediction for Recreational Marathon Runners

gbm machine-learning-algorithms numpy pandas python random-forest regression-models scikit-learn seaborn sklearn

Last synced: 12 Oct 2024

https://github.com/samkazan/fraud-detection-ml

Machine learning models for enhanced fraud detection in e-commerce transactions, exploring feature engineering, distance prediction, and clustering analysis.

clustering data-science data-visualization dataanalytics dbscan eda hierarchical-clustering kmeans-clustering knn-imputer matplotlib mlxtend python scikit-learn seaborn xgboost

Last synced: 05 Nov 2024

https://github.com/chengetanaim/sentimentanalysisforfinancialnewsnotebook

Building the model of a financial news sentiment classifier. Financial news headlines will be classified as positive, negative or neutral (from an investor point of view)

logistic-regression machine-learning natural-language-processing scikit-learn tfidf-vectorizer

Last synced: 05 Nov 2024

https://github.com/ramezze/virtualmouse-handtracking

A python application to control mouse functions using hand gestures leveraging MediaPipe, OpenCV and Tensorflow.

computer-vision handtracking handtrackingmodule kivy machine-learning mediapipe mediapipe-hands mouse multilayer-perceptron neural-network python scikit-learn scipy tensorflow virtualmouse webcam webcam-capture

Last synced: 15 Oct 2024

https://github.com/rtmigo/skifts_py

Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy

Last synced: 14 Oct 2024

https://github.com/alexsolov28/vkrb

Выпускная квалификационная работа бакалавра

matplotlib numpy pandas python scikit-learn seaborn streamlit

Last synced: 31 Oct 2024

https://github.com/anty-filidor/cyberbullying-detector

NLP bullying detector for tweets with ML model training pipeline deployed as web-app with CICD

deployment-system flask-api machine-learning nlp python scikit-learn

Last synced: 14 Oct 2024

https://github.com/tanaybhadula/ml-preprocessing-cli

A CLI tool with python to preprocess datasets for performing supervised learning to save time for users. Input data can be preprocessed using simple commands and preprocessed dataset can be downloaded later

cli data-cleaning data-preprocessing machine-learning pandas python scikit-learn

Last synced: 11 Oct 2024

https://github.com/yungshenglu/pokemonrecognition

Recognize Pokemon's image using scikit-learn in Python

knn-model python scikit-learn svm-model

Last synced: 10 Oct 2024

https://github.com/angelarreola/ai_notes

Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.

ai matplotlib numpy pandas phaserjs python scikit-learn

Last synced: 04 Nov 2024

https://github.com/djdhairya/laptop-price-prediction

machine-learning matplotlib numpy pandas random-forest random-forest-regression scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/nicknobad/binaryimageclassification

Benchmark of sci-kit learn models and a tensorflow model for Binary Image Classification

binaryclassification image-classification scikit-learn scikit-model scikitlearn-machine-learning tensorflow tensorflow-examples tensorflow-experiments tensorflow-models

Last synced: 03 Nov 2024

https://github.com/docsallover/fake-news-detection

Fake News Detection Using NLP

fakenewsdetection machine-learning machine-learning-algorithms machinelearning machinelearning-python matplotlib nlp nlp-machine-learning numpy pandas scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/shridhar1504/boston-house-price-prediction-datascience-project

The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.

boston data-science house-price-prediction machine-learning regression-algorithms regression-models scikit-learn supervised-learning

Last synced: 05 Nov 2024

https://github.com/ramy-badr-ahmed/higgs-dataset-training

Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945

binary-classification cuda-toolkit cupy dask dask-dataframes higgs-boson keras keras-tensorflow matplotlib matplotlib-python numpy pandas pandas-dataframe scikit-learn uci-dataset uci-machine-learning

Last synced: 10 Oct 2024

https://github.com/tanzim-prog/sentiment_analysis_ml_stringdata

The motive of this project is to find out the customer satisfaction of some residential hotels of Dhaka.

accuracy-score classification confusion-matrix f1-score logistic-regression machine-learning model-evaluation modelbuilding nlp nltk numpy pandas precision-score recall-score scikit-learn sentiment-analysis

Last synced: 31 Oct 2024

https://github.com/achronus/data-exploration

A repository dedicated to interesting data exploration projects I've completed

data-analysis exploratory-data-analysis machine-learning matplotlib pandas python scikit-learn seaborn

Last synced: 13 Oct 2024

https://github.com/divinenaman/color-extraction-api

Extract colours from images using K-means, along with FastAPI pipeline.

fastapi k-means-clustering scikit-learn

Last synced: 30 Oct 2024

https://github.com/enayar478/nomad_machine_learning_dash_app

An interactive Machine Learning app built with Dash and Plotly, developed as part of the Data Analytics Bootcamp at Le Wagon Bordeaux. It allows users to visualize data, make real-time predictions, and explore various model insights.

analytics cachetools dash dashboard-application data-analysis data-science deployment gunicorn interactive-visualization machine-learning pandas plotly plotly-dash prediction-model python python3 render scikit-learn web-application

Last synced: 12 Oct 2024

https://github.com/tamk-kol/project_orbital_data_analysis

The goal of this project is to develop an automatic method to detect orbital maneuvers using machine learning.

matplotlib numpy pandas scikit-learn

Last synced: 31 Oct 2024

https://github.com/oroszgy/cookiecutter-ml-flask

Cookiecutter template for training and serving machine learning models with scikit-learn, spacy, Flask and Docker

docker flask flask-application machine-learning nlp rest-api scikit-learn spacy

Last synced: 19 Oct 2024

https://github.com/henrytseng/example_docker_scikit-learn

A quick example of using Scikit-Learn from a Docker container

docker scikit-learn

Last synced: 14 Oct 2024

https://github.com/shridhar1504/titanic-survivor-prediction-datascience-classification-project

This projects predicts whether a passenger on the titanic survived or not using machine learning algorithms with the given details of the passenger data.

classification-algorithm data-analysis data-analytics data-cleaning data-preprocessing data-science data-visualization eda exploratory-data-analysis gradient-boosting jupyter-notebook machine-learning machine-learning-algorithms matplotlib naive-bayes-classifier predictive-modeling python3 scikit-learn seaborn supervised-learning

Last synced: 05 Nov 2024

https://github.com/rubaramanan/irisclassifier_with_scikitlearn

iris-classification machine-learning numpy pandas scikit-learn

Last synced: 06 Nov 2024

https://github.com/mitchmedeiros/mlcompare

Quickly compare machine learning models across libraries and datasets

huggingface-datasets kaggle openml pytorch scikit-learn xgboost

Last synced: 10 Oct 2024

https://github.com/abhipatel35/svm-hyperparameter-optimization-for-breast-cancer

Utilizing SVM for breast cancer classification, this project compares model performance before and after hyperparameter tuning using GridSearchCV. Evaluation metrics like classification report showcase the effectiveness of the optimized model.

breast-cancer cancer-diagnosis classification data-analysis data-science gridsearchcv healthcare hyperparameter-tuning jupyter-notebook machine-learning medical-imaging pycharm python scikit-learn support-vector-machine svm

Last synced: 31 Oct 2024

https://github.com/chris-santiago/tsfeast

A collection of Scikit-Learn compatible time series transformers and tools.

data-science feature-engineering python scikit-learn time-series timeseries-features transformers

Last synced: 27 Oct 2024

https://github.com/nicolascoiado/mulheres-ti

Este repositório contém um código em Python para analisar a evolução do número de mulheres na área de Tecnologia da Informação (TI) ao longo dos anos. Utilizando pandas para manipulação de dados e scikit-learn para criar um modelo de regressão linear, o objetivo é prever quantas mulheres estarão na TI em 2024 com base em dados históricos.

linear-regression matplotlib pandas python python3 scikit-learn

Last synced: 04 Nov 2024

https://github.com/ksasi/smartcab

machine-learning numpy pandas python reinforcement-learning scikit-learn

Last synced: 15 Oct 2024

https://github.com/ksasi/image_recognition

cnn computer-vision deep-learning deep-neural-networks machine-learning numpy pandas python scikit-learn tensorflow tensorflow-cnn

Last synced: 15 Oct 2024

https://github.com/ksasi/dog-breed-classifier

Dog Breed Classifier

cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn

Last synced: 15 Oct 2024

https://github.com/ksasi/boston_housing

Predicting Boston Housing Prices - Udacity

machine-learning numpy pandas python scikit-learn

Last synced: 15 Oct 2024

https://github.com/ksasi/customer_segments

machine-learning numpy pandas python scikit-learn

Last synced: 15 Oct 2024

https://github.com/cmdecker95/learning-ml

My first foray into machine learning, comprised of my early undergrad work (circa 2021-2022) 🤓

jupyter-notebook keras machine-learning scikit-learn tensorflow2

Last synced: 04 Nov 2024

https://github.com/ojhaharsh/rockvsmine-prediction

Streamlit App for Predicting Rock vs. Mine using SONAR Data. The app allows users to input SONAR readings and returns predictions based on trained data.

machine-learning python scikit-learn

Last synced: 12 Oct 2024

https://github.com/szymonrucinski/pippi-lang

Elegant 📑 text preprocessing pipeline 🚰 available as pip package 🐍 based on scikit-learn pipeline. Combines Transformer and Column Transformer into a single object.

data-cleaning data-science nlp pipeline scikit-learn

Last synced: 19 Oct 2024

https://github.com/chris-santiago/stringcluster

A Scikit-Learn style deduper.

dedupe deduplication scikit-learn text-processing text-similarity transformer

Last synced: 27 Oct 2024

https://github.com/rinuya/ml-cancer-diagnosis

Binary classficiation using MLP & Random Forest

ml mlp random-forest scikit-learn

Last synced: 12 Oct 2024

https://github.com/mzohaib364/house-price-prediction-model

End to End ML Project with Scikit Learn

cross-validation decision-tree-regression linear-regression random-forest-regression scikit-learn

Last synced: 12 Oct 2024

https://github.com/ashrw/handwritten_digit_recognizer

A handwritten digit recognition system using Python and Scikit-learn to preprocess images and classify digits with a trained SVM model.

ml python scikit-learn

Last synced: 12 Oct 2024

https://github.com/jayadavv/dynamic-ml-model-selector

An interactive web application that allows users to upload their datasets and dynamically select, train, and evaluate various machine learning models. The app provides comprehensive performance metrics and visualizations, making it easy for users to analyze their data effectively.

decision-trees linear-regression logistic-regression matplotlib-pyplot plotly python random-forest scikit-learn streamlit

Last synced: 31 Oct 2024

https://github.com/tbarlow12/learn-it-your-way

Using Python Flask, I wanted to create a simple web API that allows users to upload a dataset, choose one or more models, store them server side, and then hit an endpoint to get a prediction.

flask machine-learning python scikit-learn tensorflow

Last synced: 19 Oct 2024

https://github.com/emms21/thoughtful_ai

Technical Screening: an agent that responds to semantically similar questions with pre-defined answers, falling back to generic LLM responses otherwise

openai python scikit-learn streamlit

Last synced: 12 Oct 2024

https://github.com/30mb1/ml-linear-algorithms

Using linear models for classification.

classification linear-algorithms linear-models machine-learning machine-learning-algorithms matplotlib perceptron quality scikit-learn scikitlearn-machine-learning svm svm-classifier

Last synced: 02 Nov 2024

https://github.com/darenr/gradientboostingmachines

Notebooks exploring strengths and weaknesses of GBM based classifiers

jupyter-notebook lightgbm pandas scikit-learn xgboost

Last synced: 23 Oct 2024

https://github.com/gfyoung/tree-decode

Package for removing the black-box around decision trees

blackbox decision-tree machine-learning python scikit-learn

Last synced: 03 Nov 2024

https://github.com/officio-indrajeet/implementation-of-the-component-wise-peak-finding-algorithm

code-optimization density-based-clustering faiss matplotlib numpy pandas python3 scikit-learn scipy seaborn

Last synced: 15 Oct 2024

https://github.com/privatepeople/dataanalysis

데이터 분석 공부를 위한 저장소

data-analysis data-science data-visualization matplotlib numpy pandas python scikit-learn scipy

Last synced: 15 Oct 2024

https://github.com/gilevatanya/yandex-practicum-projects

Кейсы решенные на курсах Яндекс Практикума.

bert bootstrap catboost keras lightgbm matplotlib nltk numpy pandas postgresql python pytorch scikit-learn scipy seaborn sql

Last synced: 15 Oct 2024

https://github.com/rennamahcus/advanced-python

All the 'advanced' python topics I am going to learn...

artificial-intelligence machine-learning matplotlib numpy pandas python reinforcement-learning scikit-learn scipy

Last synced: 15 Oct 2024

https://github.com/selcia25/sleep-disorder-detection

💤This project aims to develop an automated method for detecting sleep disorders from heart rate signals.

cnn-classification kmeans-clustering machine-learning matplotlib scikit-learn scipy sleep-disorders tensorflow

Last synced: 15 Oct 2024

https://github.com/swat1563/recommendation-system

This repository features a recommendation system and analytics engine using datasets on users, organizations, contents, contacts, events, and recommendations. It includes data preprocessing, building a recommendation system, and creating visual reports with Power BI.

analytics data-analysis data-visualization engine kaggle numpy pandas powerbi powerbi-dashboards powerbi-desktop powerbi-reports python recommendation-engine recommendation-system recommender-systems scikit-learn scipy

Last synced: 15 Oct 2024

https://github.com/callesjuan/ninjalprm

Protótipo de ferramenta de agrupamento de dispositivos Android por geolocalização (Server)

python scikit-learn xmpp

Last synced: 24 Oct 2024

https://github.com/hotequil/computer-vision

Study about computer vision.

jupyter-notebook matplotlib numpy python scikit-learn

Last synced: 15 Oct 2024

https://github.com/viniciusmassari/regressao_linear_multipla

Prediction of a cholesterol exam based in some features about the patient

jupyter jupyter-notebook jupyter-notebooks pandas pandas-dataframe pandas-python pingouin python scikit-learn scikit-learn-python scikitlearn-machine-learning scipy scipy-stats

Last synced: 10 Oct 2024

https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression

Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.

deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 06 Nov 2024

https://github.com/shubhamsoni98/classification-with-random-forest-1

To classify sales into categories (Low, Moderate, High) using Random Forests to inform strategic decisions and optimize marketing strategies.

algorithms anaconda data data-science datacleaning eda jupyter-notebook machine-learning pyhton random-forest scikit-learn visualization

Last synced: 31 Oct 2024

https://github.com/cs50victor/cspaint

handwritten-text recognition application

ai machine-learning python scikit-learn

Last synced: 30 Oct 2024

https://github.com/raduldev/ann-classification-churn

ANN based classifiacation model

onehot-encoding python3 scikit-learn streamlit tensorflow

Last synced: 12 Oct 2024

https://github.com/alexsolov28/ml_course

Курс "Технология машинного обучения", бакалавриат, 6 семестр

colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/pranavgautam29/flight-price-prediction

The Flight Price Prediction project uses machine learning to forecast flight ticket prices based on historical data. Hosted on Streamlit Community Cloud and deployed via Streamlit, this application allows users to input flight details such as departure and arrival airports, travel dates, and class to receive accurate price predictions.

machine-learning prediction-model regression scikit-learn statistical-machine-learning streamlit

Last synced: 12 Oct 2024

https://github.com/priyanshulathi/air-quality-index-prediction

Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/gabrielfmcoelho/heart-disease-webapp

flask-application healthcare machine-learning scikit-learn webapp

Last synced: 25 Oct 2024

https://github.com/thiagohrcosta/machinelearning-temperature

A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.

machine-learning numpy pandas python3 scikit-learn

Last synced: 21 Oct 2024

https://github.com/thiagohrcosta/movieapp-ml

The Movie APP is a project created to apply some of the concepts learned throughout the post-graduation degree at XP Educação in Artificial Intelligence with an emphasis on Machine Learning. While this project is not integrated into the curriculum of the course, some of the concepts used were learned during the program.

docker flask-api machine-learning mysql-database postgresql python scikit-learn

Last synced: 21 Oct 2024

https://github.com/gsmafra/sklearn-dummies

Scikit-learn label binarizer with support for missing values

data-science machine-learning pandas python scikit-learn

Last synced: 27 Oct 2024

https://github.com/adriantomin/bulldozer-price-prediction

Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.

data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 10 Oct 2024

https://github.com/chrispsang/customerchurnanalysis

Predicting customer churn using a RandomForestClassifier with detailed EDA, model evaluation, and visualization. Includes a Tableau dashboard for interactive insights.

customerchurn data-analysis data-visualization datapreprocessing machine-learning python scikit-learn tableau