scikit-learn | Ecosyste.ms: Awesome

https://github.com/tnleite/credit-card-customer-clustering

Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.

classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn

Last synced: 04 Feb 2025

https://github.com/alphacrypto246/stock-price-movement-prediction

A project leveraging Polynomial Regression to predict stock price movements based on historical data. Includes data preprocessing, feature engineering, visualization, and model evaluation to provide insights for informed trading decisions.

machine-learning numpy pandas polynomial-regression scikit-learn yfinance

Last synced: 10 Feb 2025

https://github.com/alphacrypto246/student-learning-style-prediction

An interactive web application built with Streamlit that predicts a student's preferred learning style (visual, auditory, or kinesthetic) using machine learning, aiding educators in personalizing teaching strategies.

machine-learning scikit-learn scikitlearn-machine-learning streamlit

Last synced: 10 Feb 2025

https://github.com/alphacrypto246/old-car-price-prediction

The Old Car Price Prediction project predicts used car prices using features like age, mileage, and fuel type. It includes data preprocessing, model training, and visualization of trends, with easy customization for additional features or models.

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 10 Feb 2025

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/a-poor/sample-model-serve

Demo for using Flask to serve a scikit-learn model as an API

api data-science docker flask machine-learning scikit-learn

Last synced: 02 Feb 2025

https://github.com/evanch98/predict-concrete-strength-keras

Predict-concrete-strength deep learning model trained using Keras. This project is part of the IBM AI Engineering Professional Certificate.

deep-learning google-colab jupyter-notebook keras keras-tensorflow numpy pandas python regression-models scikit-learn

Last synced: 22 Jan 2025

https://github.com/arssite/dirty-cleanflooringimageprocessingusingyolov5

Uses YOLOv5 to classify floor cleanliness into five categories based on visual cues. It includes an annotated dataset, trained model,& evaluation outputs. Code covers data preprocessing, training, & testing. A comparative analysis highlights YOLOv5's advantages over traditional methods, providing an efficient solution automated floor cleanliness.

deep-neural-networks github google-colab jupyter-notebook labelimg matplotlib-pyplot numpy-library opencv-python pandas-python pytorch scikit-learn tensorflow yolov5

Last synced: 01 Feb 2025

https://github.com/ejw-data/ml-clustering-personality

Analaysis of the big-5 personality test survey results with clustering techniques.

clustering machine-learning python scikit-learn unsupervised-learning

Last synced: 22 Jan 2025

https://github.com/trilokida/insect_classification

image-classification knn-classification machine-learning python-3 scikit-learn svm-classifier

Last synced: 17 Jan 2025

https://github.com/ejw-data/proj-food-inspections

Analyzing Chicago Food Inspection data for interesting insights by combining multiple data resources and performing feature engineering.

decision-trees pandas preprocessing python scikit-learn

Last synced: 22 Jan 2025

https://github.com/virajbhutada/article-recommendation-system

This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy

Last synced: 01 Feb 2025

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/ejw-data/ml-playground

Testing the limitations, inabilities, and strengths of models with synthetic data

machine-learning python scikit-learn

Last synced: 22 Jan 2025

https://github.com/iamabhaytiwari343/book-recommendation-system

A Book Recommender System using Python

numpy pandas python scikit-learn

Last synced: 22 Jan 2025

https://github.com/lucasfranklinsilva/machine-learning

Projetos de Machine Learning.

data-mining data-science machine-learning python scikit-learn

Last synced: 14 Jan 2025

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/smaddanki/data-science

Code blocks, algorithms, and research snippets in Data Science, Machine Learning, AI & Quant Finance.

deep-learning machine-learning pytorch scikit-learn spark

Last synced: 08 Feb 2025

https://github.com/subratamondal1/quora-automated-text-classification

Text Classification with Bag of Words - Natural Language Processing

bag-of-words machine-learning matplotlib natural-language-processing nlp nltk numpy pandas python3 pytorch scikit-learn

Last synced: 11 Jan 2025

https://github.com/agnivchtj/ann

Develop an Artificial Neural Network that can classify inputs based on a number of features

backpropagation-algorithm jupyter-notebooks python scikit-learn

Last synced: 22 Jan 2025

https://github.com/agnivchtj/us-census-classifier

Find the optimal classification algorithm that can predict salaries above $50k, based on US Census data.

census-data decision-tree-classifier jupyter-notebooks knn-classifier logistic-regression naive-bayes-classifier python scikit-learn svm-classifier

Last synced: 22 Jan 2025

https://github.com/roboneet/enron_analysis

udacity project (to be complete)

machine-learning scikit-learn

Last synced: 30 Jan 2025

https://github.com/simranjeet97/spam-classification

Spam Classification Using Natural Language Processing (NLP), Scikit-Learn Library, and Bayesian Method.

data-science emails kaggle kaggle-dataset naive-bayes-classifier nlp-machine-learning nltk-python python scikit-learn spam-classification

Last synced: 14 Jan 2025

https://github.com/otuemre/viginids

VigiNIDS: A machine learning-based system for detecting malicious network traffic using the UNSW-NB15 dataset. It distinguishes between normal and attack activities, providing a data-driven approach to network security.

classification cybersecurity intrusion-detection-system machine-learning network-intrusion-detection python scikit-learn unsw-nb15 xgboost

Last synced: 03 Feb 2025

https://github.com/hasanulmukit/spam-email-classifier

This is a Spam Email Classifier built using Python and Streamlit. It uses a pre-trained model to predict whether an email is Spam or Not Spam. The app also provides the probability scores for both categories, enhancing transparency and reliability of the prediction.

email-classifier machine-learning nlp python scikit-learn spam-detection streamlit text-classification

Last synced: 03 Feb 2025

https://github.com/emilyfelker/ieee_cis_fraud_detection

Which online transactions are fraudulent? Program that uses various machine learning algorithms to detect fraud.

decision-trees kaggle logistic-regression machine-learning neural-network pandas poetry pytest python scikit-learn sklearn tensorflow xgboost

Last synced: 06 Feb 2025

https://github.com/cnoret/hexa-watts

Interactive data visualization and machine learning app for energy consumption analysis and prediction in France, built with Streamlit. (Text in French)

data-visualization electricity-forecasting energy-analysis france machine-learning scikit-learn streamlit

Last synced: 09 Feb 2025

https://github.com/infinitode/scikit-learn-decisiontreeclassifier-updater

An open-source tool to convert older Scikit-learn DecisionTreeClassifier models to the newer version.

ai classifier cli converter decisiontree python scikit-learn sklearn tools

Last synced: 06 Feb 2025

https://github.com/skypse/santander-coders-data_science-course

Curso de Data Science, proposto pelo Satander, utilizando Python!

jupyter-notebook numpy pandas-python python scikit-learn

Last synced: 16 Jan 2025

https://github.com/thekartikeyamishra/ai-customer-feedback-summarizer

The AI Customer Feedback Summarizer is a Python-based application that processes customer feedback, extracts insights, and summarizes reviews. This basic version uses extractive summarization techniques, and the advanced version integrates advanced sentiment analysis, visualization, and industry-specific fine-tuning.

ai chatbot gpt machine-learning matplotlib nltk pandas python scikit-learn streamlit

Last synced: 06 Feb 2025

https://github.com/theanujsinha01/ml-model-builder-app

This project is a user-friendly Machine Learning Model Builder developed with Streamlit. It allows users to upload datasets, clean data, preprocess features, and build, tune, and test various regression models interactively.

machine-learning-algorithms ml pandas python scikit-learn streamlit

Last synced: 12 Jan 2025

https://github.com/sunilvarma-l/liver-disease-prediction

This project focuses on predicting liver disease using machine learning techniques. The dataset includes 615 records with 13 features, such as blood and urine analysis measurements. The target variable is categorical, with five classes: No Disease, Suspect Disease, Hepatitis C, Fibrosis, and Cirrhosis.

machine-learning numpy pandas python scikit-learn statistics streamlit tensorflow

Last synced: 06 Feb 2025

https://github.com/m-esmat/machine-learning

Machine Learning repository. Each project demonstrates the application of different algorithms and techniques to solve real-world problems.

linear-regression logistic-regression matplotlib-pyplot python random-forest scikit-learn scikitlearn-machine-learning seaborn visualization

Last synced: 06 Feb 2025

https://github.com/semasuka/saitproj

BMW service recommender system

auto auto-service bmw numpy pandas python recommender-system scikit-learn streamlit

Last synced: 22 Jan 2025

https://github.com/fatimaafzaal/car_price_prediction

Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.

car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn

Last synced: 16 Jan 2025

https://github.com/rishisolanke/twitter-sentiment-analysis-using-machine-learning-

A research project that classifies tweets as positive, negative, or neutral using ML algorithms (Logistic Regression, Naïve Bayes, SVM) with NLP preprocessing.

data-science data-visualization logistic-regression machine-learning ml-models naive-bayes natural-language-processing nlp scikit-learn sentiment-analysis svm text-classification twitter-data

Last synced: 03 Feb 2025

https://github.com/imnotannamaria/ia-ml-scikit-learn

Learning tradicional machine learning with scikit-learn.

numpy pandas python scikit-learn seaborn

Last synced: 27 Dec 2024

https://github.com/adrianmarino/knn-cf-rec-sys

Similarity CF based RecSys examples

python recommender-system scikit-learn

Last synced: 24 Jan 2025

https://github.com/barbarpotato/applied-data-science-with-python-specialization

This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network.

data-science matplotlib pandas scikit-learn

Last synced: 11 Jan 2025

https://github.com/mathealgou/ml-jobs

This project is a machine learning exercise, the application receives a set of skills from the user and returns a job title that matches the skills entered. It uses the Random Forest algorithm to make the prediction base on a jobs dataset.

machine-learning python random-forest-classifier scikit-learn

Last synced: 24 Dec 2024

https://github.com/s0fft/airline-passenger-satisfaction

Airline-Customer-Model — Machine Learning Project on: Scikit-learn / Pandas / Matplotlib / Seaborn

jupyter-notebook mashine-learning matplotlib pandas python3 scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/joel-beck/claims-prediction

Car Insurance Claims Prediction

python regression scikit-learn

Last synced: 22 Dec 2024

https://github.com/mohammed-majid/logistic-binary-email-classification

Binary Classification of spam/ham emails

binary-classification logistic-regression scikit-learn

Last synced: 17 Jan 2025

https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization

A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.

dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python

Last synced: 03 Feb 2025

https://github.com/lakshitalearning/spamfortress

A machine learning-based project to detect SMS spam messages with high accuracy, using the SMS Spam Collection Dataset and techniques like supervised learning, text preprocessing, and model comparison.

data-science google-colab machine-learning nlp scikit-learn sms-spam-detection

Last synced: 16 Jan 2025

https://github.com/avik-pal/kaggle-titanic

Predicting whether a given set of people survive on the Titanic

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 21 Jan 2025

https://github.com/lorenzorottigni/ml-lending-club

Machine Learning python bootcamp: random forest classifier on LendingClub dataset

ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn

Last synced: 30 Jan 2025

https://github.com/mahsayedsalem/models_utils

Writing machine learning reusable and clean codes to make my life easier.

deep-learning keras keras-tensorflow machine-learning python3 scikit-learn tensorflow

Last synced: 08 Feb 2025

https://github.com/trainingbypackt/hands-on-machine-learning-with-python

Structure, build, and deploy machine learning projects

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

Last synced: 13 Jan 2025

https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset

Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.

classification machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Feb 2025

https://github.com/tansudasli/tensorflow-sandbox

all about machine learning

apache-arrow keras machine-learning numpy pandas scikit-learn tensorflow2

Last synced: 11 Jan 2025

https://github.com/simhayn/binary-classification

Alzheimer's disease detection using XGBoost and other prediction models.

alzheimer-disease-prediction binary-classification exploratory-data-analysis mental-health prediction-model python scikit-learn xgboost

Last synced: 27 Dec 2024

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

🎥 Building a recommendation system using python

python recommendation-engine scikit-learn suprise

Last synced: 31 Dec 2024

https://github.com/navindafernando/brain-tumor-detection

Brain Tumor Detection using Color Segmentation with KMeans Clustering :warning:

color-segmentation erosion find-contours joblib k-means-clustering machine-learning matplotlib morphological-operation numpy opencv scikit-learn unsupervised

Last synced: 31 Dec 2024

https://github.com/archie-cm/churn-analysis-for-bank-customer

The objective from this project are to predict customer churn and provide recommendations to the business team

feature-engineering machine-learning python scikit-learn

Last synced: 20 Jan 2025

https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly

This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.

correlation-analysis flask kmeans-clustering numpy pandas plotly python scikit-learn seaborn standardscaler

Last synced: 22 Jan 2025

https://github.com/monish-nallagondalla/cement_strength_prediction

The Cement Strength Prediction project uses machine learning to predict the compressive strength of cement based on its components, such as Cement, Fly Ash, Water, Superplasticizer, Coarse Aggregate, Fine Aggregate, and Age. The goal is to forecast compressive strength (MPa) for optimized cement production and quality control.

cement-strength-prediction construction-industry data-analysis data-preprocessing data-science data-visualization feature-engineering machine-learning predictive-modeling python regression-analysis scikit-learn

Last synced: 03 Feb 2025

https://github.com/vishal-verma-96/capstone_project_by_skill_academy

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python3 regression-algorithms scikit-learn seaborn

Last synced: 18 Oct 2024

https://github.com/samuele-lolli/data-analytics-techniques

A practical approach to data analytics pipeline.

numpy pandas pytorch scikit-learn

Last synced: 22 Jan 2025

https://github.com/yashsuthar00/machine-learning

Ai internship files

artifical-intelligense clustering data-science decision-trees jupyter-notebook k-means-clustering machine-learning natural-language-processing python regression-analysis scikit-learn

Last synced: 10 Feb 2025

https://github.com/nathan-lindstedt/randomization_tests

Permutation Methods for Nonprobability Data

nonparametric-statistics nonprobability-sampling permutation-test randomization-test scikit-learn uci-ml-repository

Last synced: 02 Jan 2025

https://github.com/pjj11005/ml_with_pytorch_study

[머신 러닝 교과서: 파이토치 편] -> 학습한 코드 저장소

deep-learning graph-neural-networks machine-learning neural-networks pytorch scikit-learn transformer

Last synced: 22 Jan 2025

https://github.com/karanyeole/bank-loan-default-risk-analysis-

This project aims to analyze the risk of default on bank loans using machine learning techniques. The dataset used for analysis contains information about loan applicants, including their demographics, financial history, and loan details.

feature-engineering matplotlib numpy pandas python scikit-learn seaborn

Last synced: 28 Jan 2025

https://github.com/karanyeole/dragon-real-estate-price-predictor

The project predicts the real estate prices in the mythical land of Dragons. It uses a dataset of historical real estate prices along with features such as location, size, and amenities to train a model for predicting prices of new properties.

matplotlib numpy pandas python scikit-learn

Last synced: 28 Jan 2025

https://github.com/sudothearkknight/movie-recommendation-system

The primary goal of this project is to provide personalized movie recommendations to users based on their preferences and the characteristics of the movies. This is achieved through a multi-step process involving data preprocessing, text vectorization, and recommendation generation.

anaconda-environment data-science jupyter-notebook machine-learning movie-recommendation movies pandas python3 recommendation-system recommender-system scikit-learn scikitlearn-machine-learning

Last synced: 11 Nov 2024

https://github.com/santiagoasp98/spam-detection

SMS spam detection using Logistic Regression and Multinomial Naive Bayes.

classification logistic-regression machine-learning multinomial-naive-bayes python scikit-learn spam-detection

Last synced: 07 Feb 2025

https://github.com/no-country-simulation/s16-21-n-data-bi

Analisis del COVID-19 - insights sobre la evolución de la pandemia - impacto en 5 paises sudamericanos.

eda etl machine-learning matplotlib pandas powerbi python scikit-learn seabron streamlit

Last synced: 11 Nov 2024

https://github.com/chengetanaim/sentimentanalysisforfinancialnews

This is a Django application for predicting whether the sentiment of a financial news headline is positive, negative or neutral (from an investor point of view)

beautifulsoup4 chartjs django html-css-javascript logistic-regression machine-learning natural-language-processing scikit-learn tfidf-vectorizer webscraping

Last synced: 23 Dec 2024

https://github.com/sunilvarma-l/liverdiseaseprediction

"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."

machine-learning matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 07 Feb 2025

https://github.com/colinwu0403/weatherpredictor

ML model that predicts future weather temperatures. Dataset taken from NOAA's Climate Data Online

pandas scikit-learn

Last synced: 22 Jan 2025

https://github.com/kunalpisolkar24/dsbda_lab

Collection of practical codes for Savitribai Phule Pune University's Data Science and Big Data Analytics Laboratory (310256).

data-analytics data-preprocessing data-science data-wrangling descriptive-statistics linear-regression logistic-regression mapreduce scala scikit-learn sppu-computer-engineering tf-idf

Last synced: 16 Jan 2025

https://github.com/clinton-mwachia/machine-learning-with-python

machine learning with python

machine-learning python regression scikit-learn

Last synced: 29 Dec 2024

https://github.com/gaarutyunov/savn-project

Community detection in large open source projects

community-detection gephi graph graphql jupyter-notebook networkx python3 scikit-learn sqlachemy

Last synced: 19 Dec 2024

https://github.com/NoName115/Bachelor-thesis

Bachelor thesis - Determination of Gun Type and Position in Image Scene

bachelor-thesis classification computer-vision fit gun keras machine-learning scikit-image scikit-learn vut

Last synced: 23 Oct 2024

https://github.com/codersales/machine-learning-project

Machine Learning Project

code data-science filtered-4 jupyter last-quarter machine-learning not-this-month numpy over-100-commits pandas pseudo-current python repository-6 scikit-learn sub-critical supervised supervised-learning

Last synced: 30 Dec 2024

https://github.com/aasjunior/machinelearningapp

O Machine Learning App é um aplicativo desenvolvido com Kotlin, Android Studio e Jetpack Compose, para aplicação de algoritmos de aprendizado de máquina e exibição dos resultados. Realizado como tarefa da disciplina de Laboratório Mobile/Computação Natural no 5º Semestre de Desenvolvimento de Software Multiplataforma.

fastapi jetpack-compose kotlin-android machine-learning material-design scikit-learn

Last synced: 30 Dec 2024

https://github.com/lmriccardo/moments-learning

Repository for the First-Second Moments Learning project. In this repo you will find an implementation of a learning model to learn the relationship between time-series model parameters and the first two moments of its outputs

machine-learning mean mlp-regressor models random-forest scikit-learn time-series torch variance

Last synced: 10 Feb 2025

https://github.com/aasjunior/mlapp-api

Esta API fornece endpoints para aplicar algoritmos de aprendizado de máquina, como K-Nearest Neighbors (KNN), Árvore de Decisão e Algoritmo Genético. Realizado como tarefa da disciplina de Laboratório Mobile/Computação Natural no 5º Semestre de Desenvolvimento de Software Multiplataforma.

fastapi machine-learning python scikit-learn

Last synced: 30 Dec 2024

https://github.com/dynle/2020f-ml

2020F Keio University - Machine Learning Laboratory

machine-learning python scikit-learn

Last synced: 06 Feb 2025

https://github.com/broodhoney/titanic-ml-from-disaster

This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data

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

Last synced: 03 Feb 2025

https://github.com/msikorski93/heart-failure-prediction

The subject of this repository was to perform binary classification based on respondent's collected features (age, cholesterol level, fasting blood sugar, thallium stress test results, etc.).

classification knn-classifier logistic-regression random-forest-classifier roc-curves scikit-learn svm-classifier

Last synced: 09 Jan 2025

https://github.com/aymen016/cosmic-mystery-challenge-2912

"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"

kaggle matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning seaborn

Last synced: 04 Feb 2025

https://github.com/leticiamilan/formacao-python-developer-dio

Formação Python Developer - Digital Innovation One

django flask pandas pymongo python scikit-learn sqlalchemy sqlite

Last synced: 28 Jan 2025

https://github.com/vlasdislav/flakevision

colab-notebook cv2 matplotlib ml numpy python scikit-learn

Last synced: 08 Feb 2025

https://github.com/mpoojithavigneswari/bangalore-house-price-prediction

This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.

data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 16 Jan 2025

https://github.com/thchilly/mlds102_py_exercises

Complete exercise sets from MLDS Practical Data Science and Applications course

data-science matplotlib numpy pandas python scikit-learn scipy tensorflow

Last synced: 27 Jan 2025

https://github.com/manojkp08/student-performance-analysis

The Student Performance Analyzer is your go-to solution for understanding and improving student performance. By blending the power of machine learning with interactive visualizations, this tool provides educators and learners with personalized insights into learning styles, performance gaps, and actionable improvements.

machine-learning numpy pandas python requests scikit-learn streamlit

Last synced: 27 Jan 2025

https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction

Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.

analyticsvidhya classification exploratory-data-analysis f1-score matplotlib numpy pandas python randomforest-classification scikit-learn seaborn shap

Last synced: 13 Jan 2025

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

Sentiment analysis with the IMDB movie review dataset.

imdb-dataset python scikit-learn sentiment-analysis

Last synced: 09 Feb 2025

https://github.com/trilokida/named-entity-recognition-and-classification

Given a string statement, the aim is to identify the B-Protein entity in the statement.

bagging-ensemble classification dictvectorizer ensemble-learning machine-learning naive-bayes-classifier named-entity-recognition ner random-forest scikit-learn

Last synced: 17 Jan 2025

https://github.com/belsabbagh/employee-turnover-and-customer-churn-classification

A data science project that tests mutliple models on an employee tunronver and customer churn problem

machine-learning pandas python scikit-learn

Last synced: 09 Jan 2025

https://github.com/ebadshabbir/decision_tree_algorithm

Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.

decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 17 Jan 2025

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: 03 Feb 2025

https://github.com/mariiasam/rent-in-brazil

elasticnet-regression joblib lasso-regression linear-regression numpy pandas random-forest-regressor ridge-regression scikit-learn streamlit svr-regression-prediction

Last synced: 22 Jan 2025

https://github.com/hedriss10/fast-spreed-sheets

"Fast spreed-sheets"

openpyxl pandas requests scikit-learn sqlachemy streamlit

Last synced: 22 Jan 2025

https://github.com/anibalalpizar/python-machine-learning-example

This code reads and preprocesses a dataset for classification using pandas, numpy, matplotlib and scikit-learn. The dataset is split into three parts for training, validation and testing. The data is then scaled and optionally oversampled for balanced classes.

machine-learning matplotlib numpy pandas python scikit-learn