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: 2025-01-26 00:24:18 UTC
- JSON Representation
https://github.com/msikorski93/breast-cancer-classifying
Identifying and assigning breast cancer diagnosis using machine learning methods, based on observations in WDBC dataset. All classifiers have been evaluated and performed well for this task.
breast-cancer classification k-nearest-neighbours keras logistic-regression naive-bayes neural-networks scikit-learn tensorflow
Last synced: 09 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: 29 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/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/lakshitalearning/codsoft
Machine Learning Projects - CODSOFT Internship: This repository showcases my machine learning projects completed during my internship at Codsoft. It demonstrates my skills in developing innovative solutions using various ML techniques and tools.
churn-prediction codsoft codsoftinternship deep-learning handwritten-text-recognition internship-project keras machine-learning python rnn-tensorflow scikit-learn spam-detection
Last synced: 21 Dec 2024
https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations
This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.
jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode
Last synced: 21 Dec 2024
https://github.com/hassan11196/churn-nn
A simple Churn Predictor using Scikit's Multi-Layer Perceptron Classifier
jupyter-notebook machine-learning ml neural-network python scikit-learn
Last synced: 05 Jan 2025
https://github.com/msikorski93/alzheimer-s-disease-classification
A multi classification using scikit-learn and TensorFlow models on MRI scans of patient's brains.
alzheimers-disease classification efficientnetb0 inceptionv3 knn-classifier mri-brain random-forest scikit-learn svc tensorflow
Last synced: 09 Jan 2025
https://github.com/dmitryryumin/python_libs
Библиотеки Python
bokeh matplotlib numpy pandas plotly python scikit-learn seaborn
Last synced: 31 Dec 2024
https://github.com/gabrielmazzotta/nlp-clustering--movie-similarity-from-plot-summaries
A Python-based movie recommendation system leveraging NLP and clustering techniques. This project includes data processing, vectorization of plot summaries, and the implementation of recommendation algorithms to suggest similar movies based on user input.
clustering cosine-similarity hierarchical-clustering kmeans lemmatization nlp recommendation-engine scikit-learn similarity-score spacy tokenization
Last synced: 21 Dec 2024
https://github.com/sahiltiwariiii/email-spam-classifier
This model will tell you weather mail is spam or not
dataanalysis datacleaning datascience eda machine-learning nlp-machine-learning nltk numpy pandas python scikit-learn streamlit streamlit-webapp tfidf-vectorizer wordcloud-visualization wordtovec
Last synced: 31 Dec 2024
https://github.com/apavazza/linux-distros
Popularity analysis of Linux distributions
arima autocorrelation data-science jupyter k-means-clustering linear-regression pca python random-forest-regression sarimax scikit-learn statistical-analysis statistical-models statistics time-series
Last synced: 16 Jan 2025
https://github.com/ccastleberry/sk-autobots
Custom data transformers using the scikit-learn API.
scikit-learn sklearn sklearn-api
Last synced: 21 Dec 2024
https://github.com/kirtipratihar/python_libraries_for_ds
This repository serves as a comprehensive guide to Python programming for Data Science. It covers essential topics like data manipulation, data visualization, machine learning, and statistical analysis using popular libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn tensorflow
Last synced: 23 Jan 2025
https://github.com/sahiltiwariiii/dssp
Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc
docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit
Last synced: 31 Dec 2024
https://github.com/srilaasya/titanic-survival-prediction-using-knn-for-beginners
Titanic Survival Prediction using KNN for beginners
analysis knn-classification python scikit-learn titanic-survival-prediction visualization
Last synced: 25 Jan 2025
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/gfyoung/tree-decode
Package for removing the black-box around decision trees
blackbox decision-tree machine-learning python scikit-learn
Last synced: 21 Dec 2024
https://github.com/laoluadewoye/skloverlay
This repository is the official location of the SKLOverlay Project. Here, it will hold everything used for the package on Py Pi, including source files.
classification classification-algorithm data-science data-wrangling evaluation-metrics excel graphics graphs machine-learning machine-learning-algorithms matplotlib modeling pandas preprocessing scikit-learn
Last synced: 21 Dec 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: 06 Dec 2024
https://github.com/cplaza0997/py-ml
Machine learning
clustering linear-regression logistic-regression ml pyspark python scikit-learn sparkml
Last synced: 29 Dec 2024
https://github.com/hallowshaw/text-emotion-classification-using-lstm-and-tokenization
This repository provides a machine learning and deep learning pipeline for text emotion detection. It includes a pretrained LSTM model, tokenizer, and preprocessing steps to classify emotions such as joy, sadness, and anger from text input. Easily deployable with provided resources and scripts.
emotion-classification emotion-detection feature-engineering lstm nltk nltk-python scikit-learn scikitlearn-machine-learning sentiment-analysis sequential-models text-classification text-classification-multi-label tokenization tokenizer
Last synced: 29 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/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: 29 Nov 2024
https://github.com/pedrosfaria2/match_predictor_models
Soccer match prediction models
css css3 flask html html5 javascript modeling modeling-and-simulation python python3 scikit-learn simulation test-automation test-driven-development testing
Last synced: 05 Jan 2025
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: 18 Jan 2025
https://github.com/elprofesoriqo/kagglecompetitions
Kaggle competitions projects
artificial-intelligence machine-learning python pytorch scikit-learn
Last synced: 09 Jan 2025
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/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/srilaasya/handwriting-recognition-using-k-means
Used K-means clustering and scikit-learn to cluster images of handwritten digits.
handwriting-recognition k-means python scikit-learn
Last synced: 25 Jan 2025
https://github.com/steciuk/lnr-hurftul-humor-detector
Hurtful Humor Detector
humor-detection machine-learning nlp prejudice python scikit-learn transformers
Last synced: 06 Jan 2025
https://github.com/tjpavii0809/classification-regression-models
Simple Predictive Model of Machine Learning
data-science numpy pandas scikit-learn supervised-learning
Last synced: 21 Dec 2024
https://github.com/gliuck/diabetesprediction
Machine learning exam project, focused on predicting diabetes based on health and demographic data. The project uses models like Logistic Regression, KNN, SVM and NN to analyze and predict the likelihood of diabetes in individuals.
machine-learning machine-learning-models numpy-library pandas-library prediction-model python scikit-learn
Last synced: 21 Dec 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/mahdibehoftadeh/polynomial-regression-co2-emissions
A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders
machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn
Last synced: 21 Dec 2024
https://github.com/christianconchari/bike-sharing-demand
Este repositorio contiene el trabajo práctico final de la materia Aprendizaje de Máquina II de la Especialización en Inteligencia Artificial (CEIA) de la Facultad de Ingeniería de la Universidad de Buenos Aires (FIUBA).
airflow docker fastapi machine-learning mlflow python scikit-learn
Last synced: 21 Dec 2024
https://github.com/lemma-osu/sklearn-raster
Spatial raster prediction with scikit-learn estimators
Last synced: 16 Jan 2025
https://github.com/anjaliwork20/heart-failure-prediction
Heart Failure Prediction in Humans
failure-detection heart heart-disease machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning seaborn svc-model
Last synced: 21 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/jingjing-jin/purchase-behavior-analysis
Purchase Behavior Analysis for Targeted Customer Segmentation
clustering-algorithm data-mining machine-learning python scikit-learn
Last synced: 21 Dec 2024
https://github.com/umasivakumar14/real_estate_ml_model
Predicts the price of a home in Bengaluru, Karnataka based on location, urbanization, total square feet, bedrooms, bathrooms, and balconies.
aws flask gridsearchcv http-requests machine-learning machine-learning-algorithms nginx pandas python scikit-learn
Last synced: 21 Dec 2024
https://github.com/ramyacp14/sentimentanalysis
Implements a sentiment analysis model to determine the emotional tone behind text, helping understand attitudes, opinions, and emotions in online mentions.
machine-learning natural-language-processing nltk numpy pandas python scikit-learn
Last synced: 13 Jan 2025
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: 20 Dec 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/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/shortthirdman/regressomatic-cookbook
Machine Learning Regressor Techniques Explained: A Visual Guide with Code Examples
gradient-boosting-regressor jupyter jupyter-notebook machine-learning machine-learning-algorithms notebook pandas python regression-algorithms scikit-learn
Last synced: 20 Jan 2025
https://github.com/lefteris-souflas/the-algorithmic-approach-to-winning-guess-who
This repository provides a systematic approach to winning the "Guess Who?" game through advanced machine learning techniques. It offers a comprehensive methodology for enhancing gameplay strategy and optimizing decision-making processes with meticulous attention to detail.
decision-tree drawio gradient-boosting graphviz-dot lightgbm machine-learning matplotlib numpy pandas python random-forest scikit-learn
Last synced: 12 Jan 2025
https://github.com/srilaasya/breast-cancer-classifier
Used several Python libraries to make a K-Nearest Neighbor classifier that is trained to predict whether a patient has breast cancer
knearest-neighbor-classifier python scikit-learn
Last synced: 25 Jan 2025
https://github.com/amber-abuah/amazon-rating-predictor
MultinomialNB classifier for predicting Amazon review ratings.
beautifulsoup gradio imblearn machine-learning ml naive-bayes-classifier nlp nltk pandas scikit-learn sentiment-analysis sentiment-classification tf-idf
Last synced: 21 Dec 2024
https://github.com/aysh2603/credit-card-fraud-detection
The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.
ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit
Last synced: 21 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: 21 Jan 2025
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: 21 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: 07 Dec 2024
https://github.com/nicolascoiado/nivel-mar
Este projeto realiza uma análise detalhada do nível médio global do mar (GMSL), utilizando uma base de dados pública que abrange medições históricas. O objetivo é explorar tendências, calcular a taxa média de elevação e visualizar os dados por meio de gráficos.
google-colab jupyter-notebook matplotlib numpy pandas python python3 scikit-learn
Last synced: 18 Jan 2025
https://github.com/sergeimakarovv/ml-powerlifting
Predicting a weight lifted by athletes using Machine Learning
machine-learning pandas python scikit-learn
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/cego669/dirtycategoriesencoding
Repository containing two classes (StringAgglomerativeEncoder and StringDistanceEncoder) useful for grouping or visualizing the distance between dirty categorical variables. They are compatible with the scikit-learn API.
category clustering dimensionality-reduction dirty hierarchical-clustering machine-learning scikit-learn singular-value-decomposition svd
Last synced: 21 Dec 2024
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/udacity-machinelearning-internship/more-spam-classifying
Implementing more spam classifying using Ensemble Methods in python
classification jupyter jupyter-notebook machine-learning pandas python scikit-learn sklearn
Last synced: 24 Jan 2025
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/sarowarahmed/predicting-kolkata-house-price
🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.
app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit
Last synced: 21 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/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/wesleybertipaglia/data-science-small-business
Undergraduate Data Science project for small businesses, covering data-driven solutions for optimizing operations, increasing efficiency, and driving growth.
business-intelligence data-science machine-learning matplotlib pandas python scikit-learn
Last synced: 18 Jan 2025
https://github.com/aysh2603/twitter-sentiment-analysis
The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.
hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn
Last synced: 21 Dec 2024
https://github.com/khanovico/python-stock-analyzer
This is a Webapp implemented by python and several data science frameworks, enabling online stock trend analyzing.
amcharts-js-charts data-analysis data-visualization flask javascript pandas python scikit-learn
Last synced: 21 Dec 2024
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: 21 Jan 2025
https://github.com/alchemine/diabetes-prediction
Diabetes Prediction and Analysis (NHIS-2018)
eda jupyter python scikit-learn streamlit
Last synced: 16 Jan 2025
https://github.com/amiriiw/text_classification
Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.
keras numpy pandas pickle scikit-learn tensorflow text-classification
Last synced: 21 Dec 2024
https://github.com/stella4444/linear-regression
learning about linear regression (currently a work in progress) ~ working with data
linear-regression machine-learning numpy scikit-learn
Last synced: 21 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/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: 18 Jan 2025
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: 18 Jan 2025
https://github.com/abhinavkumar2369/weather-now
Developed a weather prediction system using historical data to forecast Weather 🌤️ based on various factors like temprature 🌡️, humidity💧, dew point, rainfall 🌧️, wind speed💨.
flask mongodb numpy python scikit-learn weather-prediction
Last synced: 15 Dec 2024
https://github.com/manome/python-supervised-learning
This project provides sample code for performing supervised learning.
conformal-prediction scikit-learn supervised-learning
Last synced: 21 Dec 2024
https://github.com/raulmaulidhino-dev/ml_modelling_regression
There are many factors that influence the grades/scores of students. One of the factors is study hours. In this mini analysis project, there are 3 models that will learn and predict the relation between study hours of students and their scores in an exam/test. This project will result the best ML model to solve the problem.
data data-analysis-python data-science eda machine-learning scikit-learn
Last synced: 21 Dec 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: 18 Jan 2025
https://github.com/zsailer/skspline
A Scikit-learn interface on Scipy's spline.
Last synced: 22 Dec 2024
https://github.com/chaitanya1436/student_performance_analysis
A project focused on analyzing college student performance using data on department, assessment scores, and performance labels. Implemented in Google Colab, the analysis includes data preprocessing, feature scaling, and exploratory data analysis to uncover insights and prepare the data for further analysis or modeling.
ata-preprocessing data-preparation exploratory-data-analysis feature-scaling google-colab numpy pandas scikit-learn
Last synced: 21 Dec 2024
https://github.com/msikorski93/seed-clustering
Performing basic clustering on a seeds dataset.
agglomerative clustering dbscan gaussian-mixture-model gmm mini-batch-kmeans scikit-learn seeds
Last synced: 09 Jan 2025
https://github.com/sarincr/training-on-artificial-intelligence
Entree Academy 10 Days free training on Artificial Intelligence. Course will be conducted in a Blended learning way with Daily one hour online training and 3 hour project based training
artificial-intelligence artificial-intelligence-algorithms data-analysis data-science data-visualization decision-trees deep-learning deeplearning logistic-regression machine-learning machine-learning-algorithms machinelearning num numpy pandas regression scikit-learn scipy sklearn
Last synced: 21 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/prakashjha1/customer-segmentation
This repository contains a customer segmentation project implemented in a Jupyter Notebook using Python. Customer segmentation is a crucial strategy for businesses aiming to understand their customer base better, enabling targeted marketing strategies and personalized customer experiences.
clustering-algorithm customer-segmentation kmeans-clustering matplotlib python scikit-learn seaborn
Last synced: 16 Jan 2025
https://github.com/jeus0522/7-explore-different-classifier-ml-app
A project exploring various classification algorithms, showcasing their implementation, comparison, and evaluation using Python and scikit-learn.
k-nearest-neighbours knn random-forest scikit-learn streamlit support-vector-machine svm
Last synced: 21 Dec 2024
https://github.com/mylnikovdan/house_pricing
ml python scikit-learn visualization
Last synced: 21 Dec 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: 19 Jan 2025
https://github.com/miteshgupta07/zomato-restaurant-rating-predictor
A Zomato rating prediction app that uses machine learning to forecast restaurant ratings based on various factors, helping users make informed dining decisions.
flask machine-learning python scikit-learn
Last synced: 28 Dec 2024
https://github.com/adityajn105/machine-learning-algos
Different Algos Learn While Learning Machine-Learning
machine-learning-algorithms matplotlib-tutorial nltk pandas-tutorial scikit-learn scipy seaborn tensorflow-tutorials
Last synced: 16 Jan 2025
https://github.com/ethiy/svm-fs
SVM and Feature Selection course.
course feature-selection jupyter-notebook scikit-learn svm svm-classifier
Last synced: 15 Dec 2024
https://github.com/manjit-baishya-datascience/spam-email-detection
This project demonstrates how to build a spam detection system using Natural Language Processing (NLP) and machine learning techniques.
imblearn nlp nlp-machine-learning nltk scikit-learn spam-detection
Last synced: 21 Dec 2024
https://github.com/katjaweb/king-county-house-price-prediction
This project aims to predict house prices based on various features such as square footage, number of rooms or location.
machine-learning python regression scikit-learn
Last synced: 21 Dec 2024
https://github.com/sckonung/crab-age-regression
ML model for regression with a crab age dataset Competition in Kaggle
keras machine-learning pandas python scikit-learn tensorflow
Last synced: 21 Dec 2024
https://github.com/andriamahay11master/machinelearning
This project is created to practice supervised ML using the libraries existing in Python
linear-regression multiple-linear-regression python scikit-learn scikitlearn-machine-learning
Last synced: 22 Jan 2025
https://github.com/atharvapathak/size_estimator_project
This project in Python aims to provide a tool for estimating the size of objects in images or videos. Using computer vision techniques, the project analyzes the input media, detects objects of interest, and provides an estimation of their size based on known reference points or objects.
cicd cnn opencv python pytorch rnn scikit-learn sql tensorflow
Last synced: 15 Jan 2025
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/lexxai/goit_python_ds_hw_03
Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.
latex linear-regression matplotlib numpy pandas python scikit-learn
Last synced: 24 Jan 2025