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: 2025-01-02 00:22:17 UTC
- JSON Representation
https://github.com/pr38/dask_backward_feature_selection
Backward step-wise feature selection using Dask, scikit-learn compatible
dask feature-selection machine-learning python scikit-learn
Last synced: 09 Nov 2024
https://github.com/pr38/numbadecisiontrees
novel 'numba' based recreation of scikit-learn's decision tree algorithm
decision-tree decision-trees machine-learning numba python scikit-learn
Last synced: 09 Nov 2024
https://github.com/k5924/stockpredictor
A stock price predictor built using python and tensforflow
python scikit-learn stock-price-prediction tensorflow
Last synced: 09 Nov 2024
https://github.com/raul23/ebook-classifier-training
Part 1: Experimenting with training an ebook classifier
ebooks machine-learning nlp python scikit-learn sklearn text-classification
Last synced: 14 Nov 2024
https://github.com/ksalama/gcp-ml-serving
Examples of how to serve ML models on GCP
app-engine dataflow kubernetes machine-learning scikit-learn tensorflow
Last synced: 04 Dec 2024
https://github.com/oscarqjh/ntu_sc1015_project
A mini project for NTU's data science and artificial intelligence mod - Analysis on League of Legends competitive matches
data-science machine-learning pandas python scikit-learn
Last synced: 09 Nov 2024
https://github.com/mgobeaalcoba/inferential_statistics_with_python
Explore the world of inferential statistics using Python. Learn hypothesis testing, confidence intervals, and statistical analysis techniques for data-driven decision-making and insights.
google-colab inferential-statistics jupyter-notebook matplotlib numpy pandas python3 scikit-learn seaborn statistics
Last synced: 19 Nov 2024
https://github.com/andreasgrv/tictacs
Machine learning pipeline configuration on steroids (on tictacs actually)
config pipeline reflection scikit-learn
Last synced: 11 Oct 2024
https://github.com/gappeah/ethereum-prediction-ml
A machine learning project that predicts the future price of Ethereum (ETH) using the price data gathered from coincodex.com.
crypto cryptocurrency ethereum jupyternotebook lstm lstm-neural-networks machine-learning machine-learning-algorithms python scikit-learn scikitlearn-machine-learning sklean svm tensorflow
Last synced: 10 Nov 2024
https://github.com/sudarsann27/sentimental_analysis--kalki-2898-ad-movie-review-
Sentimental analysis - movie review for movie "KALKI 2898 AD"
datavisualization-project logistic-regression machine-learning natural-language-processing scikit-learn sentimental-analysis
Last synced: 22 Nov 2024
https://github.com/hairymax/yandex.practicum.datascience
My projects from the Yandex Practicum Data Science course.
catboost computer-vision data-analysis data-science keras lightgbm matplotlib nltk numpy pandas python scikit-learn seaborn tensorflow xgboost
Last synced: 15 Nov 2024
https://github.com/bhavik-jikadara/ai-ml-roadmap
Welcome to the ultimate guide for starting your journey in Artificial Intelligence and Machine Learning in 2024! This roadmap provides a step-by-step approach to mastering AI and ML, from fundamentals to advanced topics.
artificial-intelligence computer-vision deep-learning deployment fundamentals-of-programming keras libraries machine-learning mathematics mlops natural-language-processing production-code pytorch reinforcement-learning roadmap scikit-learn tensorflow tools
Last synced: 09 Nov 2024
https://github.com/shourya1997/programming-language-detector
The Software will enable the user to detect the programming language without the help of file extension.
machine-learning python scikit-learn scikitlearn-machine-learning
Last synced: 11 Nov 2024
https://github.com/kohlerhector/dpdt-py
Implementation of Dynamic Programming Decision Tree algorithm (Kohler et. al. 2024).
decision-tree-classifier decision-trees dynamic-programming scikit-learn scikitlearn-machine-learning sklearn sklearn-classifier
Last synced: 08 Nov 2024
https://github.com/udityamerit/breast-cancer-prediction-using-different-ml-models
The `all_MLpackage` is a Python tool for breast cancer detection using scikit-learn's machine learning algorithms. It automates model training, generates accuracy comparisons, and helps identify the best-performing algorithm for diagnosis.
classification knn-algorithm logistic-regression machine-learning numpy pandas scikit-learn svm-model
Last synced: 15 Dec 2024
https://github.com/cricksmaidiene/mids_machine_learning
🤖 A unified repository of coursework fragments from UC Berkeley MIDS ML courses
coursework data-science generative-ai jupyter-notebook machine-learning numpy pandas prompt-engineering scikit-learn spark tensorflow uc-berkeley
Last synced: 29 Nov 2024
https://github.com/mituskillologies/ai-cdac-drdo-july2024
The programs of certificate course on "Artificial Intelligence and Machine Learning" conducted at CDAC for DRDO by Tushar B. Kute.
algorithms artificial-intelligence association-rules clustering computer-vision data-analytics data-science data-visualization decision-trees knn-classification machine-learning naive-bayes-classifier predictive-modeling python scikit-learn supervised-learning unsupervised-learning
Last synced: 13 Nov 2024
https://github.com/alextanhongpin/spam-api
Microservices for spam filtering system
Last synced: 02 Dec 2024
https://github.com/shreyansh055/time-series-forecasting_055
The Time Series Forecasting Project predicts future trends using historical data with Python, Pandas, and models like ARIMA, LSTM, and Prophet, focusing on scalable, accurate forecasting for business and finance.
lstm matplotlib numpy pandas python scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/mjahmadee/machinelearning2023
Welcome to the official GitHub repository for the "Machine Learning" course 2023! In this course, we explore the fascinating world of machine learning, diving deep into the algorithms, techniques, and tools that enable computers to learn from data and make intelligent decisions.
machine-learning python scikit-learn
Last synced: 12 Nov 2024
https://github.com/sn1027/hand-gesture-recognition-using-machine-learning-and-mediapipe
This Hand gesture recognition project using mediapipe is developed to recognize various hand gestures. The user can custom train any number of various hand gestures to train a model.
computer-vision customization custommodels handgesture-recognition machine-learning mediapipe modeltraining scikit-learn scikitlearn-machine-learning
Last synced: 23 Nov 2024
https://github.com/xushiyan/udacity-machine-learning
Content for Udacity's Machine Learning curriculum
jupyter-notebook machine-learning numpy pandas python reinforcement-learning scikit-learn supervised-learning udacity-machine-learning unsupervised-learning
Last synced: 26 Nov 2024
https://github.com/rahamniabdelkaderseifelislem/prodigy_ml_01
Task 1 of the Prodigy InfoTech ML internship which involves building a basic Linear Regression model.
linear-regression machine-learning machine-learning-models predictive-modeling python scikit-learn
Last synced: 23 Nov 2024
https://github.com/juselara1/bregclus
Python implementation of Bregman Hard Clustering and Bregman Soft Clustering as a scikit-learn module.
bregman-divergence clustering numpy scikit-learn unsupervised-learning
Last synced: 31 Dec 2024
https://github.com/uea-geral/rna-perceptron-exercise
🤖Disciplina de RNA: treinamento de um neurônio Perceptron.
jupyter-notebook neural-network numpy perceptron python scikit-learn
Last synced: 26 Nov 2024
https://github.com/jersongb22/datascience_ibm_stockpredictionlstm_project
In the IBM Advanced Data Science specialization, an interactive real-time web application was developed using LSTM networks in TensorFlow to predict stock market trends for global companies.
apache-spark data-science deep-learning lstm-neural-networks machine machine-learning plotly python scikit-learn streamlit tensorflow
Last synced: 25 Nov 2024
https://github.com/tsu2000/audit_risk
Machine learning web app in Streamlit about classifying fraudulent companies using various classification models.
machine-learning plotly python random-forest scikit-learn streamlit-webapp
Last synced: 22 Nov 2024
https://github.com/kostasereksonas/ids_test
Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.
ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow
Last synced: 16 Nov 2024
https://github.com/ysayaovong/car-sales
An analysis of car sales data to uncover market trends and insights through data cleaning, analysis, and visualization.
automotive business-analysis data-analysis data-cleaning data-visualization market-trends matplotlib pandas python sales-data scikit-learn seaborn
Last synced: 23 Nov 2024
https://github.com/mementomori11723/movie-recommend-app
Movie recomendation app in python
cosine-similarity python scikit-learn streamlit
Last synced: 01 Dec 2024
https://github.com/jersongb22/computervision
Links to my repositories with a wide variety of Computer Vision models using CNNs, Transfer Learning, and Vision Transformer with TensorFlow, PyTorch, Hugging Face and Ultralytics.
cnn computer-vision efficientnetv2 hugging-face image-captioning image-classification image-segmentation lenet-5 object-detection opencv plotly python pytorch scikit-learn tensorflow tensorflow-hub ultralytics video-classification vision-transformer yolo11
Last synced: 05 Dec 2024
https://github.com/vectominist/mednlp
Mandarin Medical Dialogue Analysis with Pytorch.
dialog huggingface mandarin medical pytorch scikit-learn transformers
Last synced: 02 Dec 2024
https://github.com/jesly-joji/house-price-prediction
House Price Prediction using Linear Regression with Scikit-learn and Flask
Last synced: 22 Nov 2024
https://github.com/ayushshahh/fespn
A neural network made to predict final exam scores of students
mlp mlp-regressor multilayer-perceptron neural-network prediction-model scikit-learn
Last synced: 07 Dec 2024
https://github.com/flysirin/adstextclassification
Classification of advertisements by topic
docker excel flask pandas python pytorch scikit-learn
Last synced: 22 Nov 2024
https://github.com/vansh-khaneja/spam-email-detection
This is a spam email detection model
machine-learning naive-bayes-classifier scikit-learn spam-detection
Last synced: 01 Dec 2024
https://github.com/karimosman89/legal-document-nlp
Create a tool that uses NLP to extract key information from legal documents, contracts, or agreements.Use NLP techniques for named entity recognition and text classification.Streamline the review process for legal teams by automating information extraction.
nltk python scikit-learn spacy
Last synced: 28 Dec 2024
https://github.com/rakibhhridoy/supportvectormachinein-medical
Support vector machine in medical disease detection. Both linear and non-linear data can be fitted in svm through its kernel specialization In medical we focus on precision or recall rather than accuracy.
diabetes-prediction machine-learning medical precision-medicine recall-precision scikit-learn support-vector-machines svm
Last synced: 25 Dec 2024
https://github.com/skywalkersam/machine-learning-and-data-science-bootcamp
Getting started with AI & ML!
ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
Last synced: 10 Nov 2024
https://github.com/h-fuzzy-logic/python-finding-nsf-award-themes
Using NLP to find themes and concepts in NSF Awards
nltk pandas python scikit-learn
Last synced: 15 Dec 2024
https://github.com/priyanshulathi/url-based-web-phishing-detection-model
A machine learning project for detecting phishing URLs by extracting key features from web addresses and applying various classification algorithms to identify potential threats effectively.
decision-tree knn logistic-regression machine-learning python random-forest scikit-learn
Last synced: 22 Nov 2024
https://github.com/khadkarajesh/wine-prediction
White and Red Wine classification using logistic regression
airflow airflow-dags classification classification-algorithm data-science dataingestion evidently flask logistic-regression logistic-regression-algorithm machine-learning machine-learning-pipeline mlflow numpy pandas pipeline postgresql python scikit-learn supervised-learning
Last synced: 13 Nov 2024
https://github.com/twsl/heavydrinkingdetection
Heavy Drinking Detection using Smartphone Data
catboost data-science jupyter-notebook lightgbm optuna scikit-learn sklearn xgboost
Last synced: 10 Nov 2024
https://github.com/yvesemmanuel/machine_learning
Implements data problems solved with machine learning algorithms.
data-science keras keras-tensorflow linear-algebra machine-learning neural-network python scikit-learn
Last synced: 16 Nov 2024
https://github.com/anans9/ham-spam-analysis
A significant aspect of this application is its advanced ham and spam analysis system. This feature is crucial in maintaining the integrity and quality of the email content.
flask matplotlib pandas python scikit-learn
Last synced: 28 Dec 2024
https://github.com/jasper-koops/easy-gscv
This library allows you to quickly train machine learning classifiers by automatically splitting the data set and using both grid search and cross validation in the training process.
classification machine-learning python3 scikit-learn
Last synced: 20 Dec 2024
https://github.com/zazi2002/machine-learning-project
Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.
dimentionality-reduction ensemble-learning numpy pca random-forest scikit-learn
Last synced: 28 Dec 2024
https://github.com/andi611/libsvm-classification
Performing classification tasks with the LibSVM toolkit on four different datasets: Iris, News, Abalone, and Income.
abalone abalone-dataset classification classification-algorithm data-mining income income-dataset iris iris-dataset libsvm libsvm-ready news-dataset newsgroups-dataset scikit-learn svm svm-classifier svm-training
Last synced: 02 Dec 2024
https://github.com/magnuss0/movie-rec-system
The project extracts movie data using TheMovieDB API, processes it using TF-IDF and cosine similarity for generating recommendations, and stores the data in a DuckDB database. The system is encapsulated within a FastAPI web application and can be deployed using Docker. It provides movie recommendations in JSON format.
cosine-similarity docker duckdb movies-recommendation moviesdb-api ploomber poetry-python scikit-learn streamlit tf-idf
Last synced: 25 Nov 2024
https://github.com/ondrejhruby/fashion-mnist
Machine Learning Project: Fashion MNIST Classification using Random Forest and PCA for dimensionality reduction.
classification computer-vision data-processing dimensionality-reduction fashion-mnist feature-extraction image-classification machine-learning machine-learning-algorithms pca pca-analysis python random-forest scikit-learn
Last synced: 21 Nov 2024
https://github.com/nafisalawalidris/logistic-regression-model-for-breast-cancer-recurrence-prediction
Predicting Breast Cancer Recurrence - A logistic regression model using patient attributes to classify recurrence risk. Dataset analysis and model evaluation. Contributions welcome.
breast-cancer classification-model data-analysis data-science healthcare logistic-regression machine-learning python recurrence-prediction scikit-learn
Last synced: 22 Nov 2024
https://github.com/spamfromaditya/drugs-consumption-prediction-model-eda-bagging-classifier
Drug consumption prediction models are like crystal balls for public health. By analyzing vast amounts of data, these models can identify individuals or communities at higher risk of drug use. They consider factors like demographics, social media activity, prescription history, and even economic indicators.
bagging-classifier machine-learning matplotlib numpy python scikit-learn
Last synced: 31 Dec 2024
https://github.com/ishanoshada/matplot3dex
A Matplotlib 3D Extension package for enhanced data visualization
data data-science matplotlib python-packages scikit-learn
Last synced: 01 Dec 2024
https://github.com/francescopaolol/logisticregression
About predicting survival on the Titanic and get familiar with ML basics
jupyter-notebook kaggle logistic-regression machine-learning ml pandas scikit-learn
Last synced: 22 Dec 2024
https://github.com/francescopaolol/sentimentanalysis
About sentiment analysis on IMDB Dataset of 50K Movie Reviews
jupyter-notebook kaggle machine-learning ml pandas scikit-learn sentiment-analysis
Last synced: 22 Dec 2024
https://github.com/mafesan/2021-tfm-code
Revelio: Machine-Learning classifier to identify Bots integrable with GrimoireLab
bot-accounts data-analysis data-analytics data-science grimoirelab machine-learning metrics open-source open-source-community project-health python scikit-learn
Last synced: 22 Dec 2024
https://github.com/francescopaolol/knn
About Wine Quality Classification
jupyter-notebook knn-classification machine-learning ml pandas scikit-learn
Last synced: 22 Dec 2024
https://github.com/francescopaolol/favoritatimeseriesforecasting
See: https://www.kaggle.com/competitions/store-sales-time-series-forecasting
jupyter-notebook kaggle-competition machine-learning pandas scikit-learn
Last synced: 22 Dec 2024
https://github.com/oneapi-src/product-recommendations
AI Starter Kit for product recommendation system using Intel® Extension for Scikit-learn*
Last synced: 05 Nov 2024
https://github.com/francescopaolol/linearregression
About predicting house sale prices for King County
jupyter-notebook kaggle linear-regression machine-learning ml pandas scikit-learn
Last synced: 22 Dec 2024
https://github.com/francescopaolol/decisiontree
About classify iris plants into three species in this classic dataset
decision-tree-classifier jupyter-notebook kaggle machine-learning ml pandas scikit-learn
Last synced: 22 Dec 2024
https://github.com/francescopaolol/titaniccompetition
It's my first kaggle competition about predict survival on the Titanic and get familiar with ML basics
jupyter-notebook kaggle-competition machine-learning ml pandas scikit-learn
Last synced: 22 Dec 2024
https://github.com/troublem1/mle
MultiLabel-Transformer(MLE) is an extended version of a LabelEncoder, such that, it encodes multiple categorical columns to numeric in any workflow or pipeline
packages python3 scikit-learn sklearn
Last synced: 01 Dec 2024
https://github.com/aryank1511/wattwise
WattWise is an innovative energy-saving app that uses an Arduino-powered device to monitor and predict household electricity usage and bills in real-time.
arduino docker flask machine-learning mqtt nextjs scikit-learn
Last synced: 10 Oct 2024
https://github.com/m-rishab/credbet
A loan prediction web app which tells You that you are eligible for loan or not!
decision-tree-classifier matplotlib numpy pandas python scikit-learn
Last synced: 21 Nov 2024
https://github.com/nemeslaszlo/sale-price-of-bulldozers
The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)
matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn
Last synced: 01 Dec 2024
https://github.com/mehmoodulhaq570/machine-learning-models
A repository consisting of machine learning models for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.
decision-trees gradient-descent gradient-descent-algorithm knn-algorithm linear-regression linear-regression-models logistic-regression-algorithm machine-learning-algorithms machine-learning-models ml naive-bayes-algorithm one-hot-encoding pca python random-forest-classifier scikit-learn svm-model
Last synced: 22 Dec 2024
https://github.com/colinwu0403/heartbpmusic
Music discovery platform that recommends you a song based on your heart's BPM and your mood using Machine Learning.
django neurokit2 scikit-learn spotify-web-api vuejs
Last synced: 30 Dec 2024
https://github.com/jdavydovportfolio/careerpredictor
A project leveraging AI and Machine Learning (Logistic Regression) to predict graduate job placements. Includes data preprocessing, exploratory analysis, and predictive modeling.
artificial-intelligence exploratory-data-analysis jupyter-notebook linear-regression logistic-regression machine-learning machine-learning-algorithms machine-learning-models matplotlib ml numpy pandas pandas-dataframe predictive-modeling programming python scikit-learn
Last synced: 07 Dec 2024
https://github.com/nemeslaszlo/heart-disease
Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.
classification knearest-neighbor-classifier logistic-regression mathplotlib numpy pandas randomforest-classification scikit-learn seaborn
Last synced: 01 Dec 2024
https://github.com/agneym/scikit-learn
egghead machine-learning scikit-learn
Last synced: 29 Dec 2024
https://github.com/gmontamat/quora-question-pairs
Code for the Kaggle competition "Quora Question Pairs"
kaggle-competition quora-question-pairs scikit-learn spell-checker xgboost
Last synced: 30 Oct 2024
https://github.com/shaadclt/data-preprocessing-pipeline
This project contains a data preprocessing pipeline implemented in Python using the pandas and numpy libraries. The pipeline handles missing values, outliers, and normalizes numeric features in a dataset.
Last synced: 07 Dec 2024
https://github.com/ax-va/numpy-pandas-matplotlib-scikit-learn-vanderplas-2023
These examples provide an introduction to Data Science and classic Machine Learning using NumPy, Pandas, Matplotlib, and scikit-learn. They are taken, with some changes, from the book "Python Data Science Handbook: Essential Tools for Working with Data", Second Edition, written by Jake VanderPlas and published by O'Reilly Media in 2023.
ax-va classic-machine-learning data-science machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 18 Nov 2024
https://github.com/mohammadreza-mohammadi94/data-analysis-and-machine-learning-projects
A comprehensive collection of data analysis and machine learning projects, showcasing techniques and models for various data challenges. Dive in to explore code examples, analyses, and machine learning workflows.
data-analysis data-science dataframes exploratory-data-analysis pandas python scikit-learn visualization
Last synced: 07 Nov 2024
https://github.com/gallo13/neuralnetworks-deeplearning-image-classification-with-cnn
Explore the implementation of CNN with a color image dataset (Project 1)
cnn convolutional-neural-networks gpu-tensorflow jupyter-notebook keras keras-tensorflow numpy python scikit-learn seaborn tensorflow tensorflow2
Last synced: 26 Nov 2024
https://github.com/rodrigo-arenas/scikit-pipes
Scikit-Learn useful pre-defined Pipelines Hub
beginner-friendly good-first-issue help-wanted help-welcome machine-learning pipeline-framework scikit-learn scikit-learn-pipelines sklearn sklearn-pipeline
Last synced: 21 Dec 2024
https://github.com/islam-hady9/smartai_customersupport
Smart Customer Support Assistant
customer-support gpt-2 natural-language-processing python pytorch scikit-learn transformers
Last synced: 10 Oct 2024
https://github.com/grampers-dev/co2oracle
The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for environmental management. Using a Kaggle dataset, it demonstrates predictive analytics to understand and forecast emissions. Written in Python, it employs libraries like Pandas, NumPy, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn
Last synced: 10 Oct 2024
https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis
This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.
backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning
Last synced: 21 Dec 2024
https://github.com/2003harsh/house-price-prediction-using-machine-learning
This project features a web app that predicts house prices using a linear regression model. Users can input details like location, square footage, bathrooms, and bedrooms through an HTML form. I've added a CI/CD pipeline with GitHub Actions, unit testing with pytest, and automated Docker containerization to improve deployment and robustness.
ci-cd data-analysis docker-image flask linear-regression machine-learning matplotlib mlops-workflow requests scikit-learn
Last synced: 10 Oct 2024
https://github.com/prithivsakthiur/data-board
Data Boards - Visualization of various plots ( Analysis )
data-analysis gradio huggingface keras mathplotlib pandas plots pyplot scikit-learn seaborn spaces
Last synced: 21 Dec 2024
https://github.com/zen204/airbnb_availability
A machine learning model that predicts Airbnb listing availability, utilizing feature engineering and supervised learning techniques to improve guest experience and optimize host management.
binary-classification data-analysis data-preprocessing data-visualization feature-engineering machine-learning matplotlib model-evaluation nlp pandas predictive-modeling python scikit-learn seaborn supervised-learning
Last synced: 03 Nov 2024
https://github.com/aakanksha1406/fake-news-classifier
to identify when an article might be fake news
keras lstm lstm-neural-networks nltk python scikit-learn tensorflow
Last synced: 10 Oct 2024
https://github.com/aditya172926/text_summarization
Project to generate summaries and perform Named Entity Recognition from multiple types of text bodies.
glove machine-learning nlp python scikit-learn spacy
Last synced: 24 Nov 2024
https://github.com/sethios-notebook/__ia_learnig__
Formation Python spéciale Machine Learning francais. Apprendre Python en 30 fichiers qui contiennent une formation sur Numpy, Pandas, Matplotlib, Scipy, Sklearn, Seaborn, H5py, et bien d'autres techniques. Python est le langage d'excellence pour le machine learning, le deep learning, et la data science.
iac machine-learning matplotlib numpy python scikit-learn
Last synced: 21 Dec 2024
https://github.com/ewertondrigues02/previsao-de-vendas
Previsão de vendas de uma empresa fictÃcia onde foi feita análise com ferramentas como Jupyter Notebook, Google Colab, Python e bibliotecas de Machine Learn como: regressão linear, arvore de decisão, scikit-learn
analise-de-dados analise-exploratoria arvore-de-decisao ciencia-de-dados colab excel google-colab jupyter jupyter-notebook machine-learning previsao previsao-de-vendas python3 regressao-linear scikit-learn
Last synced: 18 Nov 2024
https://github.com/akashshnkr/multi-disease-prediction
Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.
logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm
Last synced: 22 Nov 2024
https://github.com/prajwalsinha/unveiling-climate-change-dynamics-through-earth-surface-temperature-analysis
Climate change analysis through global surface temperature data. Includes data preprocessing, statistical analysis, visualizations, and forecasting. Python-based project using Pandas, Matplotlib, and Scikit-learn.
data dataanalysis dynamic-mapping pyplot python scikit-learn seaborn
Last synced: 21 Dec 2024
https://github.com/upul/chocolate-quality-analysis
This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.
machine-learning numpy pandas predictive-analytics scikit-learn
Last synced: 18 Nov 2024
https://github.com/bhuvaneshwarguttula/student-performance-indicator
To understand and predict how the student's performance (test scores) is affected by the other variables (Gender, Ethnicity, Parental level of education, Lunch, Test preparation course).
exploratory-data-analysis machine-learning pandas python scikit-learn student-performance-analysis
Last synced: 10 Oct 2024
https://github.com/offchan42/thai-thesis-classification
Classify each document inside the corpus using Python machine learning module: scikit-learn
nlp python python2 scikit-learn segment thai thai-language thai-thesis-classification
Last synced: 29 Oct 2024
https://github.com/sahil210695/machine-learning-with-scikit-learn
Machine Learning with scikit-learn
confusion-matrix data-science machine-learning python scikit-learn
Last synced: 20 Nov 2024
https://github.com/shayanshahrabi/machine_learning_with_jadi
Course notes, codes and projects including
classification clustering jupyter-notebook machine-learning python recommender-system regression scikit-learn
Last synced: 26 Sep 2024
https://github.com/ladityagogoi/shadowguard
The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices
css flask html javascript joblib numpy pandas python scikit-learn
Last synced: 13 Nov 2024
https://github.com/guoshijiang/scikit-learn
å¸¦ä½ ä¸€èµ·å¦ä¹ scikit-learn
nlp-machine-learning scikit-learn
Last synced: 24 Nov 2024
https://github.com/dolongbien/ml2018
Machine Learning Fall 2018
decision-tree-classifier dimensionality-reduction jupyter-notebook machine-learning-algorithms naive-bayes-classifier neural-networks python scikit-learn
Last synced: 20 Nov 2024
https://github.com/gappeah/income-prediction-ml
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 10 Oct 2024