Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
scikit-learn
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
- GitHub: https://github.com/topics/scikit-learn
- Wikipedia: https://en.wikipedia.org/wiki/Scikit-learn
- Repo: https://github.com/scikit-learn/scikit-learn
- Created by: David Cournapeau
- Released: January 05, 2010
- Related Topics: scikit, python,
- Aliases: sklearn,
- Last updated: 2025-01-08 00:22:48 UTC
- JSON Representation
https://github.com/shubhamkarampure/asl-streamlit-signlingo
streamlit based web-app for teaching sign language through real-time hand gesture recognition.
learning-exercise mediapipe opencv-python python scikit-learn sign-language streamlit-webapp
Last synced: 20 Nov 2024
https://github.com/daniel-furman/RecFeatureSelect
Feature selection functions (1) using the multi-collinearity matrix and recursively proceeding to a spearman threshold and (2) using Forward Stepwise Selection running on an ensemble sklearner (with options for HPO).
correlation-threshold machine-learning modeling multicollinearity recursion recursive-algorithm scikit-learn spearman-rho
Last synced: 20 Nov 2024
https://github.com/engineertolulope/us_states_living_ranking_analysis
Python script for analyzing and ranking U.S. states based on factors like cost of living, tax burden, diversity, crime rates, and climate. Uses weighted criteria to identify the best states to live in according to these metrics. Ideal for decision-making on relocation.
data-analysis data-science linear-regression machine-learning python scikit-learn
Last synced: 21 Dec 2024
https://github.com/idaraabasiudoh/credit_card_fraud_detection
This repository contains a machine learning project focused on detecting credit card fraud using Decision Tree and Support Vector Machine (SVM) classifiers.
data-analysis jupyter-notebook machine-learning python3 scikit-learn snapml
Last synced: 21 Dec 2024
https://github.com/katiebristol/epsilon_fe2o3_controls
Exploratory Data Analysis using machine learning techniques as an exercise for GLY6932 (Data Science and Machine Learning Methods in the Geosciences) at the University of Florida.
biplot exploratory-data-analysis k-means-clustering machine-learning one-hot-encoding paleomagnetism principal-component-analysis random-forest rock-magnetism scikit-learn
Last synced: 24 Nov 2024
https://github.com/sanjiv856/machine_learning_scikit-learn
Repository for machine learning in Python using Scikit-learn.
pipelines python scikit-learn sklearn titanic-kaggle titanic-survival-prediction
Last synced: 21 Dec 2024
https://github.com/towaquimbayo/comp-4949
BCIT Computer Systems Technology (CST) - COMP 4949 (Big Data Analytics Methods)
arima big-data django django-rest-framework html html5 keras machine-learning matplotlib numpy pandas predictive-analytics predictive-modeling python pytorch scikit-learn sklearn statsmodels tenserflow
Last synced: 13 Jan 2025
https://github.com/towaquimbayo/comp-3948
BCIT Computer Systems Technology (CST) - COMP 3948 (Predictive Modelling)
classification matplotlib numpy pandas prediction-model predictive-analytics predictive-modeling python regression scikit-learn scipy sklearn statsmodels
Last synced: 13 Jan 2025
https://github.com/vijaykumarr1452/customer-churn-prediction
Analysis the data of telecom company and insights gained to reduce customer churn.
anaconda jupyter-notebook machine-learning pandas prediction scikit-learn
Last synced: 15 Dec 2024
https://github.com/marconicivitavecchia/stazione-monitoraggio-ambientale
Codice in MicroPython per ESP32 per il corso tenuto dalla nostra scuola rivolto ai docenti sulla creazione di una stazione di monitoraggio ambientale che copre gli argomenti di Python, IoT ed Intelligenza Artificiale.
ai esp32 micropython micropython-esp32 python school-project scikit-learn
Last synced: 22 Dec 2024
https://github.com/soumyapro/parkinson-disease-prediction
This project predicts Parkinson's disease using machine learning models.
logistic-regression numpy pandas scikit-learn svc xgboost
Last synced: 21 Dec 2024
https://github.com/kheriberto/knn_project
This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.
data-analysis knn-classifier numpy python scikit-learn seaborn
Last synced: 07 Dec 2024
https://github.com/vishal-verma-96/pre-owned-car-price-prediction-using-streamlit-app
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 streamlit
Last synced: 07 Dec 2024
https://github.com/spignelon/letter-recognition_project-ml
A machine learning project for letter recognition using SVM, KNN, and Decision Tree, Random Forest, and Naive Bayes algorithms. Includes data preprocessing, model training, evaluation, and visualization, and research report.
decision-tree-classifier knn-classifier letter-recognition machine-learning machinelearning naive-bayes-classifier random-forest-classifier research research-paper research-project scikit-learn svm-classifier uci-dataset uci-machine-learning
Last synced: 17 Nov 2024
https://github.com/elprofesoriqo/kagglecompetitions
Kaggle competitions projects
artificial-intelligence machine-learning python pytorch scikit-learn
Last synced: 09 Jan 2025
https://github.com/idaraabasiudoh/telco-churn-logistic-regression
A predictive model using logistic regression to identify customers likely to churn from a telecommunications company.
logistic-regression machine-learning python3 scikit-learn
Last synced: 21 Dec 2024
https://github.com/elprofesoriqo/chrome-extension-gmail-spam-filter
Chrome extension that automatically identifies and moves emails marked as spam to the spam folder in Gmail.
api-client chrome-extension firebase-database javascript machine-learning python scikit-learn
Last synced: 09 Jan 2025
https://github.com/jeonghunyoon/linearregression
linear-regression machine-learning python scikit-learn statsmodels
Last synced: 24 Nov 2024
https://github.com/icepanorama/internship-visualizations-and-demonstrations
A collection of some of the programs that I've written over the course of my internship.
artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn
Last synced: 06 Dec 2024
https://github.com/suvasish114/house-price-estimation
A machine learning model that estimate housing prices in California using the California census data
jupyter-notebook machine-learning python scikit-learn
Last synced: 30 Nov 2024
https://github.com/alexstratou/predicting-heart-disease-risk-with-scikit-learn
Predicting heart disease risk using combined UCI data and machine learning
cardiovascular-diseases classification cvd heart heart-disease jupyter-notebook machine-learning python scikit-learn sklearn
Last synced: 21 Dec 2024
https://github.com/anaconda/intel-green-ai
Code and Experimental Package attached to the article "Greener Machine Learning Computing with Intel AI Acceleration"
anaconda anaconda-environment green-ai machine-learning machine-learning-benchmarks scikit-learn scikit-learn-benchmarks
Last synced: 20 Nov 2024
https://github.com/rusiruchapana/blood-group-prediction
Creating a machine learning project to predict blood groups from fingerprint patterns
asp-net-web-api keras matplotlib numpy opencv-python pandas pillow scikit-learn tensorflow
Last synced: 20 Nov 2024
https://github.com/khaymanii/big_mart_prediction_model
This model was built using Python and Logistic Regression Algorithm
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 20 Nov 2024
https://github.com/khaymanii/calories-burnt-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 20 Nov 2024
https://github.com/khaymanii/diabetes_prediction_model
This is a Machine learning model built using Python
matplotlib numpy pandas python scikit-learn
Last synced: 20 Nov 2024
https://github.com/henrytseng/example_docker_scikit-learn
A quick example of using Scikit-Learn from a Docker container
Last synced: 01 Dec 2024
https://github.com/1egoman/machine-deep-learning-notes
Notes from my machine deep learning exploration
deep-learning machine-learning neural-networks notes python scikit-learn tensorflow udacity
Last synced: 20 Nov 2024
https://github.com/jayanthpotluri5513/chatviewapp
The ChatView App is an interactive tool for analyzing WhatsApp chat data. Utilizing TensorFlow, Keras, and Streamlit, it allows users to import .txt files, perform sentiment analysis, and visualize chat patterns and keyword trends, enhancing understanding of conversations.
deep-learning keras machine-learning nlp scikit-learn tensorflow
Last synced: 20 Dec 2024
https://github.com/bniladridas/churnprediction
Customers who'll likely stop using subscriptions.
dataset keras numpy pandas scikit-learn seaborn
Last synced: 20 Nov 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: 21 Nov 2024
https://github.com/khaymanii/house-price-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 20 Nov 2024
https://github.com/khaymanii/parkinsons-disease-detection-model
This model was built with Python and Support Vector Machine Algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 20 Nov 2024
https://github.com/khaymanii/rock-or-mine-detection_model
This is a Machine learning model built using Python.
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 20 Nov 2024
https://github.com/khaymanii/titanic_survival_prediction_-model
This Model was built using Python and Logistic Regression algorithm
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 20 Nov 2024
https://github.com/khaymanii/loan_status_predictor
This is a loan status predictor model built using Support Vector Machine Algorithm and Gradio UI library
matplotlib numpy pandas python scikit-learn
Last synced: 20 Nov 2024
https://github.com/khaymanii/movie-recommendation-model
This is a model built using Python and Cosine Similarity algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 20 Nov 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: 30 Nov 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: 01 Dec 2024
https://github.com/aldotestino/word-freq-email-classification
Simple email classifier using word frequency and Logistic Regression
docker email-classification fastapi logistic-regression python react scikit-learn
Last synced: 17 Nov 2024
https://github.com/rtmigo/skifts_py
Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy
cosine-similarity information-retrieval numpy python scikit-learn text-mining tf-idf
Last synced: 01 Dec 2024
https://github.com/jt2m0l3y/quantified-self
The final project for an introduction to data science, this project is a practice in supervised machine learning with kNN and Decision Tree Classifiers.
data-visualization decision-trees eda jupyter-notebooks knn-classification latex markdown numpy pandas python scikit-learn statistical-analysis supervised-learning
Last synced: 27 Dec 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/sudothearkknight/15-machinelearningprojects
A curation of 15 Machine Learning projects in various fields that are helping me gain a better understanding of the different machine learning tools, techniques, algorithms and methodalogies.
classification-algorithm machine-learning machine-learning-algorithms natural-language-processing pycharm-ide python3 regression-models scikit-learn scikitlearn-machine-learning spam-detection
Last synced: 19 Dec 2024
https://github.com/msikorski93/protein-tertiary-structure
Performing a regression task for estimating residue size based on given physicochemical properties of protein tertiary structures (CASP 5-9).
bioinformatics gradient-boosting multilayer-perceptron-network protein-structure-prediction regression-algorithms scikit-learn tensorflow
Last synced: 09 Jan 2025
https://github.com/lc-rezende/eqx_boston_dataset
Exploratory data analysis, clustering, and forecasting on Boston crime data (2011-2015), revealing key crime trends, hotspots, and temporal patterns to support data-driven insights for urban safety and policing strategies.
data-analysis exploratory-data-analysis jupyter-notebook kmeans matplotlib numpy pandas prophet-facebook python scikit-learn seaborn
Last synced: 17 Nov 2024
https://github.com/msikorski93/detecting-panic-disorder
Panic disorder detecting using machine learning techniques.
artificial-neural-networks classification knn logistic-regression machine-learning panic-disorder random-forest scikit-learn sgd svm tensorflow xgboost
Last synced: 09 Jan 2025
https://github.com/msikorski93/predicting-prices-on-king-county-housing-dataset
Predicting house prices using different regression analysis models.
catboost eda gradient-boosting king-county lightgbm linear-regression machine-learning neural-network polynomial-regression real-estate regression-models scikit-learn tensorflow xgboost
Last synced: 09 Jan 2025
https://github.com/farrajota/kaggle_house_prices
Kaggle's house prices competition
docker jupyter-notebook kaggle kaggle-competition kaggle-house-prices notebook pyspark python scikit-learn
Last synced: 17 Nov 2024
https://github.com/akapich/clustermatic
Python AutoML library for clustering tasks
automl clustering machine-learning scikit-learn
Last synced: 28 Dec 2024
https://github.com/rririanto/thesis-projects
The computer science thesis project that I worked on when I was a student and was looking for a part time job
bag machine-learning python2 python27 scikit-learn surf
Last synced: 22 Dec 2024
https://github.com/ansh-info/industrial-scale-penicillin-simulation
Optimizing industrial-scale penicillin production using machine learning and data analysis.
jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 30 Nov 2024
https://github.com/anastasiaschmidt1/sqli-detection-ml
UNI-PROJEKT: Erkennung von SQL-Injection-Angriffen durch maschinelles Lernen (SVM-Modell)
bht-berlin machine-learning scikit-learn sqli svm
Last synced: 28 Dec 2024
https://github.com/radoslawregula/binary-classification-metrics
A model implementing a solution to the binary classification problem along with several accuracy metrics.
binary-classification classification jupyter-notebook machine-learning matplotlib pandas python scikit-learn stochastic-gradient-descent
Last synced: 20 Nov 2024
https://github.com/junya737/weighted-pls-regression
A Python implementation of Weighted Partial Least Squares Regression with support for sample weights.
machine-learning partial-least-squares-regression scikit-learn
Last synced: 28 Dec 2024
https://github.com/sivatsk26/university-admit-eligibility-predictor
This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information
html-css-javascript ibm-cloud ibm-watson linear-regression machine-learning matplotlib numpy pandas python python-flask random-forest scikit-learn
Last synced: 18 Nov 2024
https://github.com/aishwaryagm1999/insurance-workflow-management
This project is an Insurance Workflow Management System designed to streamline policy management, claims processing, and fraud detection. It includes user account management, customer feedback analysis via NLP, alert notifications through SMS, and a fraud detection model, providing a secure, efficient solution for insurance operations.
css fraud-detection html json labelimg machine-learning natural-language-processing nlp opencv python qr-code-generator random-forest-classifier scikit-learn sms-notification tensorflow textblob twilio user-interface
Last synced: 18 Nov 2024
https://github.com/kumailn/machinelearning
Machine learning with Python
machine-learning python scikit-learn tensorflow
Last synced: 02 Jan 2025
https://github.com/karimosman89/credit-scoring
Evaluate the creditworthiness of individuals.Develop a credit scoring model that evaluates the creditworthiness of individuals based on historical data.Help financial institutions assess risk more accurately.
decision-trees ensemble-methods logistic-regression pandas python scikit-learn
Last synced: 18 Nov 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: 21 Nov 2024
https://github.com/gabrielfmcoelho/heart-disease-webapp
flask-application healthcare machine-learning scikit-learn webapp
Last synced: 13 Dec 2024
https://github.com/radoslawregula/iris-classification
Jupyter notebook implementing an efficient machine learning method to classify flowers from the Iris data set.
classification iris-dataset jupyter-notebook machine-learning python scikit-learn softmax-classifier
Last synced: 20 Nov 2024
https://github.com/radoslawregula/geo-music-classification
Jupyter notebook implementing a classification solution to the geographical origins of music problem.
classification jupyter-notebook machine-learning pandas python random-forest-classifier scikit-learn
Last synced: 20 Nov 2024
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: 07 Dec 2024
https://github.com/dllllb/ds-pipeline
Data Science model pipeline based on SciKit-Learn Estimator API
data-science machine-learning python scikit-learn
Last synced: 18 Nov 2024
https://github.com/serdaraydem1r/10dayaichallenge101
In the 10-day camp, we experienced the basics of machine learning by coding
artificial-intelligence machine-learning-algorithms model-evaluation-and-selection scikit-learn
Last synced: 22 Dec 2024
https://github.com/hayatiyrtgl/ml_divorce_classification-with-5-models
The code performs data preprocessing, machine learning model training, evaluation, and model saving for a binary classification problem on the divorce dataset.
anket binary-classification classification keras keras-classification-models keras-neural-networks keras-tensorflow machine-learning machine-learning-algorithms machinelearning-python python pythonmachinelearning scikit-learn scikitlearn-machine-learning
Last synced: 22 Dec 2024
https://github.com/bsamseth/triangular-regressor
A scikit-learn compatible implementation of a 2D triangular regressor.
Last synced: 13 Dec 2024
https://github.com/hayatiyrtgl/topic_modeling_sklearn_lda
Python code: Uses LDA for topic modeling on text data.
lda lda-model machine-learning nlp python scikit-learn sklearn topic-modeling
Last synced: 22 Dec 2024
https://github.com/byigitt/smartmove
fake data generation and analysis for ankara metro station
ankara cv2 metro numpy pandas scikit-learn
Last synced: 22 Dec 2024
https://github.com/wesleybertipaglia/data-science-small-business
📊 Undergraduate Data Science project for small businesses, covering data-driven solutions for optimizing operations, increasing efficiency, and driving growth. Includes descriptive, predictive, and prescriptive analytics, machine learning, and decision strategies.
business-intelligence data-science machine-learning matplotlib pandas python scikit-learn
Last synced: 17 Nov 2024
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: 15 Nov 2024
https://github.com/djb15/machine-learning-project
Machine learning project 2018 - Imperial College London
machine-learning project python3 scikit-learn scikitlearn-machine-learning university university-project
Last synced: 29 Dec 2024
https://github.com/lakshitalearning/churninsight
Customer Churn prediction means knowing which customers are likely to leave or unsubscribe from your service.
churn-prediction data-science flask google-colab machine-learning predictive-analytics python scikit-learn user-retention web-development
Last synced: 15 Nov 2024
https://github.com/z-fran/walmart-store-sales-forecasting
Data analysis and machine learning solution in Python for the Kaggle competition Walmart Recruiting - Store Sales Forecasting.
machine-learning sales-analysis sales-forecasting sales-prediction scikit-learn walmart-sales-forecasting
Last synced: 18 Nov 2024
https://github.com/viniciusdsandrade/ti327v-projeto4-equipe4
numpy pillow python-3 scikit-learn tensor-flow
Last synced: 09 Jan 2025
https://github.com/alchemine/diabetes-prediction
Diabetes Prediction and Analysis (NHIS-2018)
eda jupyter python scikit-learn streamlit
Last synced: 15 Nov 2024
https://github.com/eco786786/spotify-playlist-generator
This project uses machine learning to cluster songs by features like tempo, genre and mood with K-Means. It then creates personalised Spotify playlists based on these clusters, providing dynamic, genre specific track collections. Integrating the Spotify API, it enables users to explore new music within custom groupings.
flask matplotlib pandas python3 scikit-learn seaborn
Last synced: 20 Nov 2024
https://github.com/rosieoh/emergency_dataanalysis
오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석
ipython matplotlib numpy pandas python scikit-learn scipy
Last synced: 18 Nov 2024
https://github.com/rickyarians/ai-ml-nlp
Directory Machine Learning, Deep Learning, Artificial Int, Natural Language Processing Project
deep-learning machine-learning modeling python scikit-learn tensorflow
Last synced: 19 Nov 2024
https://github.com/jofaval/red-wine-quality
Data Analysis of the Red Portuguese's Wine's Quality in 2009
classification data-analysis data-science data-visualization google-colab kaggle logistic-regression machine-learning python scikit-learn wine-quality xgboost
Last synced: 09 Dec 2024
https://github.com/towaquimbayo/comp-4948
BCIT Computer Systems Technology (CST) - COMP 4948 (Predictive Machine Learning)
feature-selection keras matplotlib numpy pandas predictive-analytics predictive-modeling python pytorch regression scikit-learn sklearn statsmodels tensorflow
Last synced: 13 Jan 2025
https://github.com/sudarshanc00/brain-tumor-classification
This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.
matplotlib numpy pytorch resnet scikit-learn streamlit
Last synced: 20 Nov 2024
https://github.com/armanx200/income-predictor
🔍✨ A machine learning project that predicts income based on various demographic factors using Random Forest and Gradient Boosting algorithms. Includes data preprocessing, hyperparameter tuning, and model evaluation with detailed performance metrics. 📊🤖
arman-kianian classification data-preprocessing data-science gradient-boosting hyperparameter-tuning income-prediction machine-learning python random-forest scikit-learn
Last synced: 24 Nov 2024
https://github.com/moeeinaali/nlp-lsa
Applying Latent Semantic Analysis (LSA) to text data using scikit-learn.
Last synced: 17 Nov 2024
https://github.com/armanx200/diabetes_model
🚀 A machine learning model predicting diabetes with logistic regression, feature scaling, and VIF analysis. 📊🩺
arman-kianian classification data-analysis data-science data-visualization feature-engineering healthcare logistic-regression machine-learning model-evaluation predictive-modeling python scaling scikit-learn statistical-analysis statsmodels
Last synced: 24 Nov 2024
https://github.com/himasnhu-at/freecodecamp--ml
ML Models I built for my freeCodeCamp's Machine Learning with Python certification
freecodecamp freecodecamp-project machine-learning machine-learning-algorithms matplotlib pandas python scikit-learn
Last synced: 06 Dec 2024
https://github.com/apal21/tensorflow-pima-indians-dataset-classification
Pima Indians Dataset classification using Tensorflow Linear Classifier and DNN Classifier.
classification deep-neural-networks kaggle linear-classifier pandas pima-indians-dataset scikit-learn tensorflow
Last synced: 31 Dec 2024
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: 15 Nov 2024
https://github.com/lourdilene/guess-the-number
Number guessing game played between two players: human and computer. Basic Python project for studying object-oriented programming and machine learning with the scikit-learn library.
machine-learning oops-in-python scikit-learn
Last synced: 21 Nov 2024
https://github.com/johnnixon6972/cirrhosis-outcomes-prediction
This leverages advanced machine learning techniques to predict patient outcomes for those suffering from cirrhosis. Utilizing a comprehensive dataset from a Mayo Clinic study, this project explores various data imputation methods and class balancing techniques to enhance prediction accuracy.
ai algorithms analytics artificial-intelligence machine-learning ml pandas python3 scikit-learn
Last synced: 17 Nov 2024
https://github.com/rtahmasbi/applications_tempalete
Templates for different applications
java latex linux pearl python r scikit-learn shell-script tensorflow
Last synced: 01 Jan 2025
https://github.com/umasivakumar14/f1imagerecognition
Predicts the F1 driver given in an image of their face.
crossvalidation flask gridsearchcv haar-cascade image-recognition machine-learning python scikit-learn seaborn wavelet-transform
Last synced: 17 Nov 2024
https://github.com/eljandoubi/genre_classification
Create an ML pipeline for Genre Classification using MLflow.
hydra machine-learning mlflow numpy pandas pandas-profiling pytest scikit-learn scipy wandb
Last synced: 25 Nov 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: 17 Nov 2024
https://github.com/eljandoubi/disasterresponsepipeline
Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.
flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy
Last synced: 25 Nov 2024
https://github.com/greatepee/book-recommendation-system
Book Recommendation System
collaborative-filtering cosine-similarity evaluation-metrics k-precision kaggle kaggledatasets mae numpy pandas python scikit-learn scipy svd svd-matrix-factorisation
Last synced: 17 Nov 2024
https://github.com/moanassiddiqui/handsonml_ml
This is the complete part I of the Hands-On Machine Learning book which was about the classical machine learning models.
hands-on machine-learning scikit-learn
Last synced: 17 Nov 2024