scikit-learn | Ecosyste.ms: Awesome

https://github.com/barrettotte/anilist-ml

Training a binary classifier model to predict if I would recommend an anime using my Anilist user data.

anilist binary-classification data-visualization machine-learning scikit-learn

Last synced: 09 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/navindafernando/iris

Hello world for ML :mushroom:

classification joblib k-nearest-neighbor machine-learning pandas scikit-learn

Last synced: 31 Dec 2024

https://github.com/navindafernando/face-recognition

Training a SVM Pipeline for Face Recognition :anger:

classification haar-cascade-classifier joblib machine-learning numpy opencv pipeline principal-component-analysis scikit-learn ski support-vector-machines

Last synced: 31 Dec 2024

https://github.com/navindafernando/heart-risk-prediction-model

Heart Risk Level Predicting Regression Model :broken_heart:

joblib linear-regression machine-learning pandas r-squared regression-models scikit-learn supervised

Last synced: 31 Dec 2024

https://github.com/sevilaymuni/project-no.6-tree-based-models

Random Forest Assisted Suggestions for Salifort Motors Employee Retention: Plan, Analyze, Construct and Execute

data-science decision-trees evaluation-metrics gridsearchcv logistic-regression machine-learning matplotlib python random-forest-classifier scikit-learn seaborn-plots

Last synced: 16 Dec 2024

https://github.com/francislauriano/chatsoftex

Plataforma inovadora desenvolvida em Python que visa automatizar e agilizar o processo de avaliação de projetos de inovação, utilizando inteligência artificial e critérios padronizados com base na Lei do Bem.

cryptography fernet firebase flask flask-jwt-extended hugging-face-transformers numpy openai pdfplumber postgresql pyjwt pymupdf-fitz pypdf2 python pytorch scikit-learn scipy spacy sqlalchemy tensorflow

Last synced: 09 Dec 2024

https://github.com/ledsouza/nlp-article-classification

This project aims to develop a machine learning model capable of classifying news articles into different categories based on their titles. Two different word embedding models (CBOW and Skip-gram) are trained and used to vectorize the article titles. These vectorized representations are then used to train a Logistic Regression classifier.

gensim-word2vec natural-language-processing nlp nlp-machine-learning pandas python scikit-learn spacy spacy-nlp

Last synced: 03 Dec 2024

https://github.com/atkaridarshan04/machine-learning-algorithms

Machine Learning Algorithms with Python and SciKit-Learn

machine-learning machine-learning-algorithms python scikit-learn

Last synced: 03 Dec 2024

https://github.com/chengetanaim/customerpersonalityanalysis

Customer Personality Analysis involves a thorough examination of a company's optimal customer profiles. This analysis facilitates a deeper understanding of customers, enabling businesses to tailor products to meet the distinct needs, behaviors, and concerns of various customer types

kmeans-clustering pandas scikit-learn

Last synced: 23 Dec 2024

https://github.com/chengetanaim/high-school-alcoholism-and-academic-performance

Student Alcoholism and Academic Performance Data Analysis

jupyter-notebook scikit-learn

Last synced: 23 Dec 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/timothyjan/intro-machine-learning-classifiers

We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a “real-world” dataset, which will introduce its own set of challenges.

numpy pandas python scikit-learn

Last synced: 04 Dec 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: 09 Dec 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: 09 Dec 2024

https://github.com/aml-hassan-abd-el-hamid/divorce-analysis-and-prediction

Exploratory data analysis and modelling for a dataset that contains questions that couples who got divorced and stayed together answered using Python, pandas, pandas profiling and Scikit learn.

machine-learning pandas-profiling scikit-learn

Last synced: 16 Dec 2024

https://github.com/aml-hassan-abd-el-hamid/finding-donors-for-charityml

Predicting salary of the people based on various data about them

machine-learning python scikit-learn supervised-learning udacity-machine-learning-nanodegree

Last synced: 16 Dec 2024

https://github.com/snikumbh/archr

archR: Identifying promoter sequence architectures de novo using NMF

archr discovery nmf non-negative-matrix-factorization promoter-sequence-architectures r r-package scikit-learn sequence-architectures unsupervised-machine-learning

Last synced: 09 Jan 2025

https://github.com/jofaval/california-housing-pricing

Data Analysis about the California Housing Pricing in 1997

data-analysis data-science data-visualization deep deep-learning deep-neural-networks google-colab keras machine-learning matplotlib python regression scikit-learn seaborn tensorflow

Last synced: 09 Dec 2024

https://github.com/jofaval/80-cereals

Data Analysis into almost 80 USA cereals user rating in 1993

cereals classification data-analysis data-science data-visualization google-colab kaggle linear-regression logistic-regression machine-learning matplotlib python regression scikit-learn seaborn

Last synced: 09 Dec 2024

https://github.com/markdouthwaite/py-lingo

Utilities for helping you deploy Scikit-Learn models in Go (with lingo!)

hdf5 linear-models scikit-learn

Last synced: 03 Jan 2025

https://github.com/jofaval/ionosphere

Binary Classification of Ionosphere signals at Goose Bay, Labrador in 1988

data-analysis data-science data-visualization deep-learning google-colab keras machine-learning python scikit-learn tensorflow uci xgboost

Last synced: 09 Dec 2024

https://github.com/kaladabrio2020/livro-ml-with-pytorch-and-sk

Progresso em cada capitulo

jupyter-notebook matplotlib-pyplot nump pandas python3 pytorch scikit-learn

Last synced: 16 Dec 2024

https://github.com/brenofariasdasilva/dagster-heart-disease-risk

Dagster Heart Disease Risk Model.

dagster heart-disease jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 23 Jan 2025

https://github.com/jofaval/iris-flowers

Multilabel Classification of the famous Iris Flowers Dataset from Ronald Aylmer Fisher in 1936

classification data-analysis data-science data-visualization google-colab iris-flowers kaggle machine-learning python scikit-learn xgboost

Last synced: 09 Dec 2024

https://github.com/jofaval/titanic-disaster

Data Analysis of the famous Titanic Disaster in 1912 with Machine Learning

classification data-analysis data-science data-visualization google-colab kaggle machine-learning python scikit-learn

Last synced: 09 Dec 2024

https://github.com/jofaval/sonar

Binary Classification of Sonar Signals of Rocks and Metal cylinders in 1987

data-analysis data-science data-visualization machine-learning python scikit-learn sonar uci

Last synced: 09 Dec 2024

https://github.com/moritzkoerber/text_analysis_app

A web app that classifies the content of messages that are usually sent during disasters such as earthquakes.

flask machine-learning nltk python scikit-learn

Last synced: 09 Jan 2025

https://github.com/moritzkoerber/tune_preprocessing_algos

Files for this blogpost https://moritzkoerber.github.io/python/tutorial/2019/11/18/blogpost/

cross-validation hyperparameter-tuning machine-learning python scikit-learn

Last synced: 09 Jan 2025

https://github.com/moritzkoerber/data_science_posts

This repository hosts the code for my data science related blog posts.

hyperparameter-tuning machine-learning pipeline python scikit-learn

Last synced: 09 Jan 2025

https://github.com/hyzhak/scikit-learn-experiments

scikit-learn experiments

data-science scikit-learn sklearn

Last synced: 23 Dec 2024

https://github.com/rennamahcus/hands-on-rl

Hands-on-RL exploration and development.

artificial-intelligence dynamic-programming machine-learning markov-decision-processes matplotlib numpy pandas pygame pygame-ce python reinforcement-learning scikit-learn

Last synced: 09 Dec 2024

https://github.com/sk-g/mnist_beginners

Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow

Last synced: 16 Dec 2024

https://github.com/s-matke/eco-forecast

Machine learning model used for predicting European country with most green surplus energy generated

data-science green-energy machine-learning scikit-learn supervised-learning

Last synced: 09 Dec 2024

https://github.com/daniil-leshchev/spotify_ml

Track Popularity Prediction based on Spotify Data

eda keras ml pandas scikit-learn

Last synced: 05 Dec 2024

https://github.com/andrewsy1004/linear-regression-model-for-house-price-prediction

A linear regression model to predict house prices based on features like size, location, and number of rooms. This project demonstrates the application of machine learning in real estate price estimation

linear-regression python scikit-learn xgbregressor

Last synced: 04 Dec 2024

https://github.com/nahom32/mlp-assignment

This repository is an implementation for machine learning assignment demonstrating the machine learning process.

eda logistic-regression machine-learning scikit-learn

Last synced: 05 Dec 2024

https://github.com/vijaykumarr1452/black_friday_sales_analysis

Black Friday Sales Analysis python machine learning project using pandas and scikit-learn for data preprocessing, model training, and performance evaluation.

confusion-matrix jupyter-notebook machine-learning pandas python random-forest-classifier sales-analysis scikit-learn

Last synced: 05 Dec 2024

https://github.com/alejandrolara11/machinelearningcourse

Machine Learning Basics: From Setup to Clustering

data-analysis data-science machine-learning numpy pandas plotly preprocessing-data python scikit-learn seaborn streamlit

Last synced: 05 Dec 2024

https://github.com/giatraskon/machine_learning_assignments

Machine learning assignments covering regression, classification, neural networks, adversarial examples, and real-time emotion detection using Python. Includes theoretical insights and practical implementations.

adversarial-examples bayesian-inference bias-variance-tradeoff cifar10 classification deep-learning emotion-recognition iris-dataset k-nearest-neighbours keras machine-learning mnist neural-networks opencv pima-indians-diabetes python regression ridge-regression scikit-learn tensorflow

Last synced: 05 Dec 2024

https://github.com/dadvaiahpavan/ai-data-scientist-

AI-powered tool for dataset analysis, featuring data preprocessing, classification, regression, anomaly detection, and text analysis. Built with scikit-learn, pandas, and Plotly for visualization. Includes an interactive Streamlit web interface for real-time data analysis.

ai anomaly-detection classification data-analysis data-science machine-learning panda plotu regression scikit-learn sentiment-analysis streamlit

Last synced: 05 Dec 2024

https://github.com/bhaveshbhakta/diabetes-prediction

Note* The hosted website link might take some time to load. Please be patient while the application initializes.

diabetes-prediction flask machine-learning python scikit-learn svm web-development

Last synced: 05 Dec 2024

https://github.com/galaxy092/samsung-innovation-campus-big-data-capstone-project

Samsung Innovation Campus Big Data Capstone Project - Weather Prediction

hadoop jupyter-notebook pandas pyspark scikit-learn sparksql

Last synced: 05 Dec 2024

https://github.com/vijaykumarr1452/startup_success_predictor

This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)

machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn

Last synced: 05 Dec 2024

https://github.com/gdapriana/clickbait-detector-backend

This repository contains the backend logic for the “Clickbait Detector” app. Built using Python, it employs an Artificial Neural Network (ANN) to predict the likelihood of a news headline being clickbait. It provides REST API endpoints to interact with the model.

flask python scikit-learn tensorflow

Last synced: 05 Dec 2024

https://github.com/ahsan-83/machine-learning-specialization-coursera

Machine Learning Specialization course offered by DeepLearning.AI on Coursera

andrew-ng-machine-learning classification coursera linear-regression logistic-regression machine-learning machine-learning-algorithms machine-learning-coursera machine-learning-models mathematical-modelling mathematical-optimization numpy pandas python-programming regularization scikit-learn tensorflow

Last synced: 05 Dec 2024

https://github.com/dukebw/ml-model-selection

Machine learning model selection using Dlib and scikit-learn.

dlib machine-learning ranking scikit-learn

Last synced: 05 Dec 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: 23 Dec 2024

https://github.com/dahsie/spam_classification

Ce fut mon prémier projet NLP où j'ai réalisé la détection de spam en utilisant les algorithmes d'embedding pour encorder mes textes. J'ai utilisé Random Forest et Milti-Layres Perceptrons pour la phase de classification. Ce qui a pemit l'obtension des précisions respective de 97% et 98%. J'ai aussi appris à documenter mes codes via sphinx

doc2vec fasttext-embeddings gensim glove-embeddings python scikit-learn sphinx-doc word2vec-algorithm

Last synced: 23 Dec 2024

https://github.com/viniciusds2020/ml_pycaret_classificacao

Sistema de preprocessamento e treinamento de modelos de machine learning utilizando PyCaret. Uma metodologia low-code para processos de MLops

machine-learning mlops preprocessing pycaret python scikit-learn

Last synced: 10 Dec 2024

https://github.com/aryan-coder-student/smart-agricultural-monitering-aryanpahari037-

Increase agricultural productivity and sustainability by offering a smart farming assistant that helps farmers make data-driven decisions to optimize resource use and crop management.

hackathon-project machine-learning numpy pandas python scikit-learn

Last synced: 10 Dec 2024

https://github.com/vivekky57/flight-price-prediction

flask machine-learning machine-learning-algorithms python3 render scikit-learn

Last synced: 23 Dec 2024

https://github.com/vivekky57/car-price-prediction

Now you can get Car Price with this wonderful end-to-end project.

flask machine-learning machine-learning-algorithms python python3 random-forest-classifier scikit-learn

Last synced: 23 Dec 2024

https://github.com/justsecret123/nba-players-stats-analysis

A quick interactive Notebook to visualize some NBA players stats (points, assists, steals, blocks...) and totals, rankings and comparisons. Feel free to add any player in the .csv data files. 🏀

csv ipython-notebook ipywidgets jupyter-notebook jupyterlab matplotlib pandas python scikit-learn seaborn

Last synced: 23 Dec 2024

https://github.com/crispengari/ml-web-applications

✔ This repository contains a series of machine learning web applications, using python.

artificial-intelligence deeplearning flask javascript machinelearning nueral-networks python scikit-learn sentiment-analysis webapplication

Last synced: 16 Dec 2024

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: 09 Jan 2025

https://github.com/harris-giki/e-comdataanalysis_ml

E-commerce Customer Analysis with Linear Regression: analyzes customer behavior within an e-commerce setting and predict yearly customer spending based on various features using a linear regression model.

development ecommerce linear-regression machine-learning model prediction-model python scikit-learn

Last synced: 23 Jan 2025

https://github.com/tanim-mishkat/data-science-prediction-model-pds-course-

Diabetes Progression Prediction Using Regression Analysis: This project uses regression analysis in Python to predict diabetes progression based on medical and physiological data. Includes data preprocessing, model training, evaluation, and visualizations.

data-science machine-learning python regression scikit-learn

Last synced: 23 Jan 2025

https://github.com/rishi-gupta-data/book-recommendation-system

pandas python3 scikit-learn

Last synced: 23 Jan 2025

https://github.com/vishnu-vamshii/fraud-detection-using-machine-learning

Developed a machine learning pipeline to detect fraudulent credit card transactions, handling imbalanced data with SMOTE and scaling. Trained models like Logistic Regression and Random Forest. Conducted EDA to identify fraud patterns.

pandas python scikit-learn tensorflow

Last synced: 23 Jan 2025

https://github.com/ayaarbi/prediction_des_maladies_cardiovasculaires_avec_ml

Ce projet, développé au sein de cours de Machine Learning, utilise des algorithmes de classification supervisée pour prédire la présence de maladies cardio-vasculaires à partir de données médicales publiées sur Kaggle.

cardiovascular-diseases jupyter-notebook machine-learning matplotlib pandas python scikit-learn

Last synced: 23 Jan 2025

https://github.com/otuemre/obesity-classification

Machine learning project to classify obesity levels based on health metrics like age, sex, height, weight, and BMI.

classification data-science healthcare machine-learning obesity-classification scikit-learn

Last synced: 23 Jan 2025

https://github.com/felinjob/ibm-applied-data-science-capstone

Este projeto, parte da especialização IBM Data Science Professional Certificate, prevê o sucesso do pouso do Falcon 9 da SpaceX. Usando dados da API da SpaceX e Web Scraping, o projeto inclui análise de dados e Machine Learning para gerar insights sobre os lançamentos.

data-analysis data-science data-visualization ibm jupyter-notebook machine-learning numpy pandas python scikit-learn seaborn sql

Last synced: 23 Jan 2025

https://github.com/debangshu9183/spam-mail-detection

To detect spam mail

logistic-regression machine-learning numpy pandas scikit-learn seaborn

Last synced: 23 Jan 2025

https://github.com/aitechhero/nonullsense-ml-fundamentals

ai artificial-intelligence data-science machine-learning ml numpy pandas python pytorch scikit-learn

Last synced: 23 Jan 2025

https://github.com/veranyagaka/credit-card-fraud-detection

Credit Card Fraud Detection using data preprocessing, analysis, visualization, and machine learning to accurately identify fraudulent transactions. -Final Project

ai anomaly-detection classification credit-card-fraud-detection machine-learning scikit-learn supervised-learning

Last synced: 23 Jan 2025

https://github.com/namratha2301/carprice_analysisandprediction

This project analyzes factors influencing vehicle prices using a dataset of various attributes, including Engine capacity, Power, Mileage, and Seating capacity.

data-analysis data-visualization exploratory-data-analysis machine-learning pandas predictive-modeling random-forest-classifier regression scikit-learn seaborn

Last synced: 23 Jan 2025

https://github.com/parag000/content-based-movie-recommender

This project builds a content-based movie recommendation system using the TMDB dataset. By combining metadata features like cast, genres, and directors into a "metadata soup," it calculates movie similarity with vectorizers (Count) and cosine similarity. Ideal for learning content-based filtering and text vectorization techniques.

Last synced: 23 Jan 2025

https://github.com/vaishnavis03/finlatics_ml_program

This repository contains the .ipynb files for 3 datasets, along with a PPT for each. The datasets included are Facebook Marketplace Data, Sales Prediction Data, and Wine Quality data.

correlation data-analysis data-science data-visualization knn linear-regression machine-learning matplotlib numpy pandas random-forest-classifier scikit-learn

Last synced: 23 Jan 2025

https://github.com/nirmaldeepponnada/codeclauseinternshipproject1

This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.

kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer

Last synced: 23 Jan 2025

https://github.com/hmasdev/ssbgm

Score Based Generative Model with scikit-learn

generative-model scikit-learn

Last synced: 23 Jan 2025

https://github.com/cinodon/outlier-detection-saas-tfg

Outlier Detection System in SaaS Access Data

anomaly-detection clustering outlier-detection saas scikit-learn unsupervised-learning

Last synced: 23 Jan 2025

https://github.com/mosalem149/data-mining-assignments

That repo for data mining quizzes and tasks.

anaconda data-mining dataframe jupyter-notebook matplotlib mlxtend numpy pandas python quizzes scikit-learn seaborn tasks

Last synced: 23 Jan 2025

https://github.com/raju-2003/indiaai-cyberguard-ai-hackathon

An NLP-powered system to simplify cybercrime reporting by analyzing descriptions, categorizing incidents, and providing actionable insights.

matplotlib nltk numpy pandas python random-forest-classifier re scikit-learn seaborn shap spacy wordcloud

Last synced: 23 Jan 2025

https://github.com/purcellcjp/credit-risk-classification

This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.

machine-learning numpy pandas-dataframe python scikit-learn

Last synced: 23 Jan 2025

https://github.com/bastianlq/gym-prediccion-churn-y-agrupacion-clustering

Predicción de churn, agrupación de clientes mediante clustering y recomendaciones de marketing para gym

aprendizaje-automatico clustering machine-learning scikit-learn

Last synced: 23 Jan 2025

https://github.com/raminbadri/machine-learning-with-python

This where I will upload all my machine learning projects and samples

classification clustering data-science jupyter-notebook machine-learning matplotlib numpy pandas python3 regreession scikit-learn

Last synced: 23 Jan 2025

https://github.com/andresmg07/real-time-sign-language-translator

AI-driven real-time American Sign Language translator. Implemented leveraging Support Vector Machines (SVM), OpenCV library and MediaPipe hands module.

ai computer-vision machine-learning mediapipe opencv pattern-recognition scikit-learn support-vector-machines

Last synced: 23 Jan 2025

https://github.com/abdullahashfaq-ds/sms-spam-detection

A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.

css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost

Last synced: 17 Dec 2024

https://github.com/jol79/python_exercises

Solving interesting python exercises on different topics

matplotlib-pyplot numpy pandas python3 pythonexercises scikit-learn seaborn

Last synced: 11 Dec 2024

https://github.com/gregoritsch3/ml_eda_clustering_aidassessment

An EDA and Machine Learning Clustering exercise on the Country Aid Assessment dataset demonstrating the use of PCA, KMeans and DBSCAN clustering, Elbow Methods, etc. The clustering algorithm successfully demarcates countries that are in most dire need of aid based on their GDPP and Child Mortality rate.

dbscan kmeans machine-learning matplotlib numpy pandas pca scikit-learn seaborn

Last synced: 17 Dec 2024

https://github.com/albarji/teachingcontainer

A Docker container I use for my lectures

docker keras machine-learning scikit-learn

Last synced: 17 Dec 2024

https://github.com/scikit-learn/pairwise-distances-reductions-asv-suite

A dedicated asv suite for scikit-learn private PairwiseDistancesReductions

asv benchmarks cython scikit-learn

Last synced: 17 Dec 2024

https://github.com/pratishtha-abrol/sentimentanalysis

Logistic Regression: A sentiment analysis case study

logistic-regression nltk-python scikit-learn sentiment-analysis

Last synced: 12 Dec 2024

https://github.com/dmarks84/coursework_project_ml-classification

Project for IBM Data Science course on Machine Learning -- Trained ML models for classification, evaluating based on a variety of metrics

classification communication data-modeling dataframes numpy pandas python scikit-learn supervised-ml

Last synced: 23 Dec 2024

https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection

Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.

classification cross-validation data-modeling data-reporting data-visualization databases dataframes eda grid-search matplotlib numpy pandas python scikit-learn statistics supervised-ml

Last synced: 23 Dec 2024

https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction

Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)

classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization

Last synced: 23 Dec 2024

https://github.com/dmarks84/coursework_project_ml-model-eval-refine

Project for IBM Data Science course on ML Models & Analysis -- Read in large dataset of home sales and utilized polynomial linear regression analysis to make predictions of future home sales prices

classification communication data-modeling dataframes machine-learning matplotlib numpy pandas programming python regression scikit-learn scipy seaborn supervised-ml visualization

Last synced: 23 Dec 2024

https://github.com/msadeqsirjani/machine_learning_hands_on

A comprehensive machine learning repository containing different concepts, algorithms and techniques.

cnn computer-vision data-analysis data-science data-visualization deep-learning keras machine-learning matplotlib neural-network nlp numpy open-source pandas python rnn scikit-learn seaborn tensorflow

Last synced: 17 Dec 2024

https://github.com/saahilanande/naivebayes

Implimenting Naive Bayes classifier from scratch for sentiment analysis of IMDB dataset

machine-learning naive-bayes-classifier python-3 scikit-learn

Last synced: 10 Jan 2025

https://github.com/martinkersner/kmeans-meetup

Presentation about k-Means for Seoul AI Meetup on July 22, 2017.

kmeans numpy python scikit-learn

Last synced: 01 Jan 2025

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: 23 Dec 2024

https://github.com/ahmadmessbah/classification_app

Machine Learning No-Code Environment

classification knn logistic-regression machine-learning machinelearning mlp scikit-learn sklearn svm

Last synced: 01 Jan 2025

https://github.com/rishi035/advanced-house-price-predictions

This is my First Project and also participated in kaggle competition

linear-regression machine-learning python random random-forest regressor-models scikit-learn

Last synced: 01 Jan 2025

https://github.com/themihirmathur/machine-failure-predictor

The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.

cicd digitalocean docker fastapi flask github github-actions machine-learning matplotlib mlops numpy plotly python randomforest scikit-learn seaborn streamlit

Last synced: 01 Jan 2025

https://github.com/themihirmathur/soiligator

Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.

auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine