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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.

https://github.com/hilarionengarejr/movie-recommender-app

Sentiment analysis on user reviews for movie recommendations using Content Based Filtering.

docker flask nltk numpy pandas python3 scikit-learn selenium

Last synced: 10 Apr 2026

https://github.com/rahulb813/mvscr

An alternative movie recommendation system for the CineMatchSM with better predictions. Trained with a Kaggle dataset of over 450000+ entries.

gridsearchcv knn python scikit-learn scipy-sparse svd tensorflow xgboost

Last synced: 07 May 2026

https://github.com/oenm176/hmeq-loan-analysis

Menggali wawasan dari dataset Home Equity (HMEQ). Proyek ini membangun model klasifikasi untuk mendeteksi kredit macet, yang menampilkan pra-pemrosesan data lengkap, normalisasi, dan visualisasi pohon menggunakan Python.

classification-model credit-risk-analysis data-mining data-science data-visualization decision-tree hmeq-dataset machine-learning python scikit-learn student-project

Last synced: 13 Apr 2026

https://github.com/roboneet/enron_analysis

udacity project (to be complete)

machine-learning scikit-learn

Last synced: 25 Mar 2025

https://github.com/prasadhiremath1/spam-classifier

Classifies messages and emails as spam or not spam

naive-bayes-classifier python3 scikit-learn streamlit

Last synced: 10 May 2026

https://github.com/mahsayedsalem/models_utils

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

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

Last synced: 13 Apr 2026

https://github.com/adarshpheonix2810/resume-screening

This project is designed to classify resumes into different job categories based on their content. Users can upload resumes in PDF, DOCX, or TXT format, and the application will predict the category using a pre-trained machine learning model. It aims to enhance the job application process for candidates and recruiters alike.

data-science machine-learning natural-language-processing python resume-classification scikit-learn streamlit

Last synced: 13 Apr 2026

https://github.com/phonhay103/diabetes_svm

Diabetes Classification with SVM

classification scikit-learn streamlit svm

Last synced: 08 May 2026

https://github.com/vamsi0333/ai-sentiment-cicd-project

End-to-end CI/CD deployment of an AI-powered Sentiment Analysis API using FastAPI, Docker, Kubernetes, Terraform, and GitHub Actions. Demonstrates complete MLOps + DevOps workflow.

ai cicd devops docker fastapi github-actions kubernetes mlops scikit-learn terraform

Last synced: 12 Apr 2026

https://github.com/danielstankw/car_classification_and_regression

Regression & Classification model using a car data. Involves EDA, feature engineering, pipelines and more.

classification learning machine regression scikit-learn tensorflow trim

Last synced: 29 Apr 2026

https://github.com/abdullahashfaqvirk/sms-spam-detection

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

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

Last synced: 02 Apr 2026

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

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

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

Last synced: 09 Apr 2026

https://github.com/indhra/hands_on_machine_learning

Core ML topics: short summaries , code snippets, Interview prep

keras machine-learning python scikit-learn tensorflow2

Last synced: 06 Apr 2026

https://github.com/emanuel-poblano/stock-market-predictor

An end-to-end Python stock price prediction project that pulls real market data, performs feature engineering, trains a machine learning model, and predicts the next-day closing price of a stock.

matplotlib pandas python scikit-learn yfinance

Last synced: 13 Apr 2026

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: 13 Apr 2026

https://github.com/khushi130404/placemetrix

A machine learning-based placement prediction app using IQ and CQPA as inputs. Built with Python in Jupyter Notebook, leveraging scikit-learn, pandas, and matplotlib.

jupyter-notebook machine-learning matplotlib python scikit-learn

Last synced: 13 Apr 2026

https://github.com/akashwav/fake-news-detection

📰 A complete NLP project that takes a news dataset, builds a highly accurate classification model, and deploys it as a live web application using Streamlit and GitHub.

data-science fake-news-detection machine-learning nlp nltk pandas python scikit-learn spacy streamlit text-classification

Last synced: 11 Apr 2026

https://github.com/kalpthakkar/jobpilot-ai

JobPilot AI is a next-generation, AI-powered job application and management platform that automates the end-to-end process of job searching, intelligent application submission, and workflow analytics. It combines state-of-the-art AI, ML, NLP, and cloud technologies to deliver a seamless, highly customizable, and extensible solution for job seekers.

artificial-intelligence automation beautifulsoup chromadb fastapi gmail-api jobs langchain llm lxml nlp nltk ollama python3 pywinauto rag scikit-learn selenium sqlite-database

Last synced: 08 Apr 2026

https://github.com/asuquoaa/predicting_viewer_engagement_with_educational_videos

This project uses machine learning to predict video engagement based on features such as transcript complexity, speaker speed, and silence periods. By understanding the factors influencing engagement, we can improve content recommendations and educational experiences.

data-visualization exploratory-data-analysis machine-learning scikit-learn

Last synced: 15 May 2026

https://github.com/joewlos/fantasy_football_monte_carlo_draft_simulator

Monte Carlo Fantasy Football Draft Simulator Featuring FastAPI, NextUI, and ODMantic

fantasy-football monte-carlo nextjs nextui odmantic pydantic python scikit-learn

Last synced: 13 Apr 2026

https://github.com/lingumd/neural_network_charity_analysis

Machine learning and neural networks used to create a binary classifier capable of predicting whether applicants will be successful if funded by Alphabet Soup.

deep-learning machine-learning matplotlib-pyplot neural-networks onehotencoder pandas scikit-learn seaborn standardscaler tensorflow

Last synced: 13 Apr 2026

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

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

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

Last synced: 28 Apr 2025

https://github.com/ifte-13/early-stage-brain-stroke-detection

Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm

decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/santoshn86/dlp-ev-system-for-pa-optimization

This system is a game-changer, enabling smarter energy management through predictive insights and personalized optimization strategies.

aiml django flask keras pytorch scikit-learn tensorflow typescript

Last synced: 13 Apr 2026

https://github.com/adityasreevatsak/smartflow

SmartFlow enhances bike-sharing efficiency by combining deep reinforcement learning with agentic AI. The RL model optimizes bike distribution, while agentic AI coordinates real-time actions, like alerting truck drivers. This scalable approach ensures smart decisions and timely execution for urban transport.

agentic-ai jupyter-notebook keras open-ai-gym pandas python pytorch reinforcement-learning scikit-learn seaborn stable-baselines3 tensorflow

Last synced: 13 Apr 2026

https://github.com/dummumounika/ecommerce-sales-categorization

This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.

machine-learning matplotlib-pyplot ntlk numpy pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/1401dev/customer-lifetime-value-prediction

A data science project leveraging Python and Scikit-Learn to build predictive models that estimate customer lifetime value (CLV). Includes data cleaning, feature engineering, and model selection to identify key drivers of CLV, supporting strategic decision-making in customer retention and marketing.

clv clv-analysis customer-retention data-analysis dataprocessing feature-engineering machine-learning marketing-analytics predictive-modeling python regression-analysis scikit-learn

Last synced: 06 May 2026

https://github.com/sorabh-kapoor/face-recognition-attendance-system

The Facial Recognition System is an AI-powered application USING FLASK designed to detect and recognize faces with high accuracy. This system can be integrated into various applications, including security systems, attendance management, and identity verification.

flask flask-application knn ml numpy opencv pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/pramodyasahan/spaceship-titanic

This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine learning algorithm known for handling categorical data effectively.

machine-learning numpy pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/qinhanmin2014/sklearn-svm-guide

Rapidly obtain acceptable results using SVM (based on scikit-learn)

machine-learning scikit-learn svm

Last synced: 03 Apr 2025

https://github.com/mahambilalandahaan/week8

K-Means Deep Dive: Clustering analysis with Elbow and Silhouette methods in Python

clustering data-visualization jupyter-notebook k-means machine-learning python scikit-learn unsupervised-learning

Last synced: 20 Apr 2026

https://github.com/apfirebolt/spam_email_classifier

An Email classifier using CountVectorizer and Naive Bayes strategy. PyQt5 is used for GUI

count-vectorizer naive-bayes-classifier pandas pyqt5 python scikit-learn

Last synced: 08 May 2026

https://github.com/hamza-ali0237/yolov11-image-segmentation-and-weight-estimation

Combining YOLOv11's Image Segmentation capabilities with a Regressor to segment fruits and also estimate their weight In grams.

deeplearning imagesegmentation machine-learning opencv python pytorch regression scikit-learn yolo yolov11

Last synced: 06 Apr 2026

https://github.com/muscaanmnmnm/breast-cancer-detector

A predictive model for breast cancer detection using K-Nearest Neighbors, demonstrating the impact of feature scaling on model performance and recall.

breast-cancer-wisconsin data-science feature-scaling jupyter-notebook knn-classification machine-learning pandas-dataframe python-3 scikit-learn

Last synced: 06 Sep 2025

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: 06 Apr 2026

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

Similarity CF based RecSys examples

python recommender-system scikit-learn

Last synced: 08 May 2026

https://github.com/ot-code/coca-cola-stock-prediction

This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.

arima csv linear-regression lstm-neural-networks mae matplotlib mse numpy pandas python r2 scikit-learn seaborn tensorflow-keras xgboost

Last synced: 13 Apr 2026

https://github.com/heyitsjoealongi/fantasy-football-qbwr-model

Fantasy Football: Quarterback / Wide Receiver - Gaussian Process Regression (GPR) Machine Learning Model

machine-learning matplotlib model numpy python scikit-learn

Last synced: 01 Apr 2025

https://github.com/mindlessmuse666/iris-ml-based-on-decision-trees

Проект демонстрирует применение моделей машинного обучения на основе деревьев решений и случайного леса для классификации набора данных Iris. Включает в себя загрузку данных, обучение моделей, оценку производительности и визуализацию результатов. Предназначен для изучения основ машинного обучения и анализа данных.

classification data-analysis data-visualization decision-trees iris-dataset machine-learning model-evaluation python random-forest scikit-learn

Last synced: 17 Oct 2025

https://github.com/t-lak/decision-tree

This project implements a basic Decision Tree classifier. It supports visualizing the tree and calculating performance metrics (accuracy, precision, F1-score, and recall).

decision-trees graphviz metrics numpy python3 scikit-learn

Last synced: 07 May 2026

https://github.com/grandechowhiskey/fcc-data_analysis-projects

A collection of projects completed as part of the FreeCodeCamp "Data Analysis with Python" certification. These projects cover statistical calculations, data visualization, and trend analysis using real-world datasets.

data-analysis data-visualization matplotlib pandas python3 scikit-learn seaborn

Last synced: 01 May 2026

https://github.com/arindal1/breast-cancer-detection

A simple Neural Network model to detect Breast Cancer.

machine-learning neaural-network scikit-learn tensorflow

Last synced: 13 Apr 2026

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

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

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

Last synced: 11 Mar 2025

https://github.com/seznam/lightning-text

Adapter for using FastText library with scikit-learn and optuna.

fasttext optuna scikit-learn

Last synced: 16 Feb 2026

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: 11 Mar 2025

https://github.com/hetuvpatel/brain-stroke-prediction

Machine Learning project for predicting stroke risk using healthcare data. Includes EDA, preprocessing, SMOTE, feature selection (RFE), evaluation of Logistic Regression, Decision Tree, Random Forest, KNN, SVM, and Stacked Ensemble models.

data-mining ensemble-learning healthcare machine-learning predictive-modeling python rfe scikit-learn smote

Last synced: 17 May 2026

https://github.com/daniel-fink-de/contextual-encoders

A library of scikit-learn compatible contextual variable encoders

data-science machine-learning scikit-learn

Last synced: 15 May 2026

https://github.com/pksvv/machinelearning_svm

Various implementations of Support Vector Machine Algo

machine-learning python scikit-learn support-vector-machine

Last synced: 04 May 2026

https://github.com/gilevatanya/yandex-practicum-projects

Кейсы решенные на курсах Яндекс Практикума.

bert bootstrap catboost keras lightgbm matplotlib nltk numpy pandas postgresql python pytorch scikit-learn scipy seaborn sql

Last synced: 06 Jan 2026

https://github.com/mastermindromii/car-price-prediction-model

Here is My Regression Project based on Predicting Price of Car using Linear Regression.

linear-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 13 Apr 2026

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

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

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

Last synced: 13 Apr 2026

https://github.com/avtorgenii/cocktails-analysis

Preprocession, augmentation, EDA and clustering of cocktails dataset from TheCocktailDB. Recruiting task for SolVro science club.

matplotlib pandas scikit-learn

Last synced: 11 May 2026

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: 14 Mar 2026

https://github.com/ozcankyo28/ds-ml-bootcamp

📊 Master data science and machine learning in one month with hands-on projects, covering the complete ML workflow from data collection to deployment.

data-science datascience jose-portilla lgbm lgbmregressor machine-learning matplotlib-pyplot python regression-models scikit-learn seaborn tensorflow udemy-course-project udemy-machine-learning

Last synced: 14 Apr 2026

https://github.com/codecraft-sanju/medvisionai-medical-image-ai-vision.

MedVisionAI is an AI-powered platform that analyzes ultrasound images to detect PCOS and provide actionable recommendations. Using CNN-based deep learning and generative AI, it ensures fast, accurate diagnosis, reduces errors, and supports clinicians with instant insights all while maintaining patient privacy and compliance.

deep-learning fastapi gemini-api genai keras-tensorflow machine-learning matplotlib python react scikit-learn seaborn tailwindcss tensorflow

Last synced: 07 Sep 2025

https://github.com/hilalozdemirbuyukasik/deep-learning

A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.

bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/cesar312/python-data-science-toolbox

A collection of useful data science tools and techniques

data-science jupyter-notebook pandas python scikit-learn statistics visualization

Last synced: 13 Apr 2026

https://github.com/prajakta1321/authencheck

Amdocs Gen AI Graduate Hackathon 2024-25- A comprehensive fact-checking and misinformation detection system that leverages cutting-edge AI models and multiple news sources to verify information circulating on social media

api bert-fine-tuning flask-application matplotlib ngrok-server nlp nlp-machine-learning numpy pandas python3 scikit-learn seaborn wandb

Last synced: 05 Apr 2026

https://github.com/gwerbin/sklearn-gensim

Scikit-learn-compatible adapters for Gensim

machine-learning natural-language-processing python python3 scikit-learn

Last synced: 29 Apr 2026

https://github.com/bagusperdanay7/absa-with-bilstm-undergraduate-thesis

My undergraduate thesis program, Aspect-Based Sentiment Analysis Towards Matket Place Application Review Using Bidirectional Long Short-Term Memory used Python, Keras and Tensorflow

ai aspect-based-sentiment-analysis bilstm deep-learning gensim imbalanced-learning ipython-notebook keras machine-learning matplotlib natural-language-processing nltk numpy pandas python scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/lukacerr/lovelytics

Lovelytics technical task for AI engineer position

ai-agents deepagents langchain ml python scikit-learn

Last synced: 31 May 2026

https://github.com/yanne0800/lung_cancer_prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

algorithm classification cnn decision-tree-classifier decision-trees deep-learning gradientboosting keras lung-cancer medical-image-processing navies-bayes-classifer neuralnetworks python scikit-learn

Last synced: 05 May 2026

https://github.com/okerx/spotifymoods

A simple ML model to classify Spotify tracks using audio features.

machine-learning pandas python scikit-learn

Last synced: 09 May 2026

https://github.com/apfirebolt/titanic_survival_prediction

Titanic survival prediction GUI application using scikit-learn and PyQT5

jupyter-notebook pandas prediction pyqt5 python scikit-learn titanic-kaggle

Last synced: 06 Apr 2026

https://github.com/lingumd/cryptocurrencies

Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.

concatenate elbow-curves get-dummies hvplot jupyterlab kmeans matplotlib-pyplot minmaxscaler pandas path pca-analysis plotly-express scikit-learn unsupervised-machine-learning

Last synced: 13 Apr 2026

https://github.com/sasank-sasi/subtheme-sentiment-analysis-for-review

"Comprehensive Subtheme Sentiment Analysis of Customer Reviews Using Advanced NLP Techniques"

matplotlib natural-language-processing nltk plotly python scikit-learn spacy vader-sentiment-analysis

Last synced: 05 Feb 2026

https://github.com/idaraabasiudoh/svm_cell_classification

This repository contains code for classifying cell samples using Support Vector Machine (SVM) with Scikit-learn.

machine-learning python3 scikit-learn svm-classifier

Last synced: 19 Jan 2026

https://github.com/sebastianquintanam/arbol_decision

Árbol de decisión en Python para recomendar la mejor cuenta de ahorro según el perfil del usuario. Incluye dataset sintético, entrenamiento con scikit-learn y visualización del modelo.

data-science decision-tree finance machine-learning python scikit-learn

Last synced: 15 May 2026

https://github.com/duruii/contest-dingtalkcup2-a

2023年第二届“钉钉杯”大学生大数据挑战赛——智能手机用户监测数据分析

data-mining machine-learning pandas scikit-learn xgboost

Last synced: 12 Mar 2025

https://github.com/abhipatel35/svm-hyperparameter-optimization-for-breast-cancer

Utilizing SVM for breast cancer classification, this project compares model performance before and after hyperparameter tuning using GridSearchCV. Evaluation metrics like classification report showcase the effectiveness of the optimized model.

breast-cancer cancer-diagnosis classification data-analysis data-science gridsearchcv healthcare hyperparameter-tuning jupyter-notebook machine-learning medical-imaging pycharm python scikit-learn support-vector-machine svm

Last synced: 05 Feb 2026

https://github.com/javi-cc/python-ml-portcanto

Portcanto és un projecte de simulació d'un trajecte en bicicleta. S'ha definit 4 tipus de ciclistes que es diferencien en el temps que tarda a fer el trajecte. L'objectiu és descobrir els 4 patrons amb l'algoritme de clustering KMeans.

clustering docker docker-compose kmeans machine-learning mlfow pydoc pylint python scikit-learn testing venv

Last synced: 13 Apr 2026

https://github.com/priyanshul28/ml_classification_eda_parkinsonsdisease

A guided Machine Learning Classification exercise on the Parkinson's Disease dataset demonstrating the use of Logistic Regression, Neural Network Classifiers, Decision Trees, Random Forests and XGBoost algorithms, as well as Data Preprocessing and Exploratory Data Analysis.

classification machine-learning pandas python scikit-learn statistics

Last synced: 16 Apr 2026

https://github.com/18mahi/digital_cave

An intermediate-level deep learning project that compares Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) on the MNIST handwritten digits dataset. This project demonstrates data augmentation, learning rate scheduling, and visual comparison of model performance

cnn confusion-matrix data-augmentation data-science deep-learning evaluation-metrics jupyter-notebook keras learning-rate-scheduler machine-learning matplotlib mlp numpy python3 scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/pranavsp108/time-series-forcasting

A time-series forecasting project to predict hourly energy consumption using Python, Pandas, and an XGBoost regression model.

data-analysis data-science energy-consumption forecasting matplotlib numpy pandas python scikit-learn sustainability time-series xgboost

Last synced: 10 Apr 2026

https://github.com/ahmadbuilds/fake-news-classifier

Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.

fastapi logistic-regression matplotlib n-grams nextjs nltk numpy pandas python3 random-forest-classifier react scikit-learn seaborn supervised-learning tf-idf typescript xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/pranavsp108/financial-fraud-detection

A comprehensive machine learning project for detecting financial fraud using XGBoost and LightGBM, with a focus on advanced feature engineering, class imbalance handling, and hyperparameter tuning.

classification-model data-science feature-engineering fraud-detection hyperparameter-tuning lightgbm machine-learning pandas python scikit-learn xgboost

Last synced: 04 May 2026

https://github.com/imehranasgari/mlflow_starter

This project is a hands-on guide to the complete end-to-end MLflow workflow, designed as an educational resource. It demonstrates how MLflow is used in practice for experiment tracking, model versioning, and ensuring a reproducible MLOps lifecycle, focusing on the methodology and best practices rather than high model accuracy.

data-science experiment-tracking mlflow mlops model-registry python scikit-learn

Last synced: 11 May 2026

https://github.com/njorogepaul-moghul/house-price-predictions-kaggle-competition-

Built a predictive model for the Kaggle House Prices competition using feature engineering and LightGBM, achieving strong leaderboard performance."

data-science house-price-prediction-with-lightgbm kaggle-competition lightgbm machine-learning predicting-home-values-using-machine-learning random-forest scikit-learn

Last synced: 15 May 2026

https://github.com/kostadinlambov/time-series-forecasting

This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.

keras-tensorflow matplotlib-pyplot mlflow numpy optuna pandas python scikit-learn seaborn statsmodels ta-lib tensorflow

Last synced: 07 Apr 2026

https://github.com/blue-catblues/tieba-integratedanalysis

Python期末大作业—对百度贴吧进行爬虫采集(scrapy)、统计分析(pandas)、可视化展示(matplotlib)，与机器学习分类(scikitLearn)的综合性数据分析

matplotlib nlp-machine-learning pandas python scikit-learn scrapy seaborn

Last synced: 05 Oct 2025

scikit-learn Awesome Lists
awesome-python-data-science 382 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 55 Machine Learning 43 General 35 Data Manipulation 29 Deep Learning 28 Model Explanation 26 Reinforcement Learning 24 Optimization 22 Visualization 18 Graph Machine Learning 17 Feature Engineering 16 Time Series 16 Probabilistic Methods 13 Computer Vision 12 Computer Audition 9 Computations 9 Natural Language Processing 9 Deployment 8 Distributed Computing 7 Experimentation 7