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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/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/prakharchoudhary/mlchallenge-2

My submission for machine learning challenge #2, organised by hackerEarth.

adaboost gradient-boosting-classifier jupyter-notebook machine-learning python scikit-learn

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/tnleite/loan-approval-prediction

Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.

classification-algorithm data-science exploratory-data-analysis machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn scipy seaborn xgboost-classifier

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/sanchariii/order_amt_prediction

Order Amount Prediction is a machine learning project that predicts customer order amounts based on past behavior. It includes milestones for data cleaning, exploratory data analysis, feature engineering, and model building. The framework can be customized to suit specific needs and provides insights for better decision-making.

jupyter-notebook machine-learning 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/danishtalpur/sentiview-website

SentiView is a sentiment analysis tool designed to analyze and interpret the emotions behind tweets on Twitter. The platform processes textual data from user-generated tweets to determine the sentiment behind them—whether they are positive, negative, or neutral.

css flask html java naive-bayes-classifier scikit-learn twitter-sentiment-analysis

Last synced: 16 Apr 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/kianoushamirpour/end_to_end_text_classification

Developing feature engineering pipelines, building packages, automating tests, and creating FastAPI endpoints.

apache-airflow ci docker-compose factory-design-pattern fastapi feast grafana hyperopt mlflow prometheus pytorch scikit-learn tox transformers xgboost-classifier

Last synced: 08 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/gsmafra/sklearn-dummies

Scikit-learn label binarizer with support for missing values

data-science machine-learning pandas python scikit-learn

Last synced: 15 Jan 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/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/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/1adore1/deadlock-match-tracker-bot

Telegram bot for tracking real-time Deadlock matches for top 250 players of the leaderboard. Fetches match data and predicts winners using a machine learning model.

aiogram api deadlock optuna pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/vatshayan/pokemon-analysis

Visualization, Analysis & Predicting the accuracy of finding Pokemon power, attack & speed through Machine Learning

artificial-intelligence data data-analysis data-science data-visualization dataset machine-learning machine-learning-algorithms pokemon scikit-learn

Last synced: 30 May 2026

https://github.com/vyjayanthipolapragada/kmeans_clustering_customer_analysis

Using the algorithm of KMeans to analyse real customer datasets and draw valuable insights to boost business stragegy

algorithms analysis customer-data jupyter-notebook kmeans-clustering machine-learning matplotlib pandas python scikit-learn

Last synced: 13 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/shruthin4/news-articles-classification

Classifying News Articles using Machine Learning and NLP techniques.. Built an end-to-end text classification pipeline using TF-IDF vectorization and models like Logistic Regression and SVM. Includes exploratory data analysis, model evaluation, and deployment-ready artifacts.

data-analysis data-science logistic-regression machine-learning model news-classification nlp python scikit-learn svm tf-idf-vectorization

Last synced: 13 Apr 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/otuemre/emailphishingdetection

A real-time phishing email detection system using Machine Learning (SVM, Logistic Regression, Naive Bayes) with FastAPI backend and custom domain deployment.

cybersecurity fastapi huggingface machine-learning nlp real-time scikit-learn spam-detection svm-classifier tfidf-vectorizer

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/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/thinker84/real-time-stock-price-prediction-and-market-analysis-using-machine-learning

Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.

data-science django lstm machine-learning numpy pandas pandas-datareader scikit-learn stock-market stock-price-prediction stooq streamlit yahoo-finance yahoo-finance-api

Last synced: 13 Jul 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/omar7001-b/data-miner

DataMiner is an interactive web application for data mining and machine learning. It helps users upload, clean, transform, and analyze datasets while building predictive models — all through a simple and powerful Streamlit interface.

data-cleaning data-mining data-preprocessing data-science data-visualization interactive-dashboards pandas python scikit-learn streamlit

Last synced: 28 Apr 2025

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/nirmaldeepponnada/codeclauseinternshipproject2

Python, NLTK, Scikit-Learn, Pandas, NumPy, Pickle, SciPy, and JSON are used for text preprocessing, feature engineering, multi-label classification, and model persistence.

nltk numpy pandas pickle python scikit-learn scipy

Last synced: 07 Apr 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/dharma-acha/imageclassification

This project is an interactive Streamlit web application using the VGG-13 model to classify images from the CIFAR-10 dataset. Users can upload images to receive real-time predictions and visual explanations of the model's decisions. The goal is to accurately classify images into one of the ten CIFAR-10 classes: airplanes, automobiles, birds, cats,

colab-notebook matplotlib numpy pandas python3 pytorch scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/vishant007/annadataa

A Website For Farmers To Guide Them Regarding Crop Prouction In Their Native Language

django flask-application google-collab kaggle machine-learning-algorithms numpy pandas python3 scikit-learn

Last synced: 13 Apr 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/nurulashraf/telco-customer-churn-prediction-model

This repository contains a Telco Customer Churn Prediction project using machine learning. It includes data preprocessing, exploratory data analysis, feature engineering, and model development to predict customer churn. Key tools used are Python, Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn.

churn-prediction classification-model customer-churn data-visualization exploratory-data-analysis machine-learning predictive-analytics python scikit-learn

Last synced: 16 Mar 2025

https://github.com/mmerlyn/analysis-of-tomato-prices

Forecasting tomato prices in Karnataka using machine learning to help farmers make better crop planning and selling decisions.

css flask html matplotlib numpy pandas python scikit-learn seaborn

Last synced: 06 Jul 2025

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/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/subratamondal1/heart-attack-prediction

Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.

data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn

Last synced: 09 Apr 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/oceanuz/car-price-regression

A comprehensive ML evaluation and improvement notebook for a car price prediction model. It includes topics such as scoring with r2, cross-validation, overfitting/underfitting diagnosis, and polynomial regression. *Ridge regression* is applied to reduce overfitting, and (GridSearchCV) techniques are used to find the best alpha hyperparameter.

cross-validation data-science grid-search hyperparameter-tuning machine-learning machine-learning-models model-evaluation overfitting python regression ridge-regression scikit-learn

Last synced: 11 Dec 2025

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/ivanswetz/banana_shelf-life_prediction

Goal: Predict how many days a banana has left before spoiling (“days to death”) based on a photo. This project demonstrates an end-to-end machine learning pipeline: image preprocessing, feature extraction, supervised & semi-supervised learning, and model deployment.

image-processing machine-learning opencv python random-forest scikit-learn supervised-learning

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/ytalk/deep-learning

Um repositório dedicado à minha jornada de aprendizado e experimentação em Deep Learning. Contém diversas pipelines e implementações em diferentes datasets, explorando modelos (MLPs, LSTMs, CNNs) e técnicas (Regressão, Classificação, etc.) com foco em TensorFlow e Keras.

data-science deep-learning keras machine-learning neural-networks pandas python scikit-learn tensorflow

Last synced: 30 Dec 2025

https://github.com/abhay-rudatala/resume-analyzer

Intelligent Resume Analysis System using Machine Learning and NLP. Features TF-IDF + Naive Bayes/SVM classification (90-95% accuracy), SpaCy NER for information extraction, and interactive Streamlit web app with custom UI. Built with Python, Scikit-learn, and deployed on Streamlit Cloud.

classification machine-learning named-entity-recognition nlp portfolio-project python resume-analysis scikit-learn spacy streamlit

Last synced: 06 May 2026

https://github.com/manishrajmss13/regression_project

A predictive machine learning model to forecast the Algerian Forest Fire FWI using Python, Scikit-learn, and Statsmodels. Includes complete data cleaning and EDA.

data-cleaning-and-preprocessing data-science eda feature-engineering learning-by-doing linear-regression machine-learning python regression scikit-learn statsmodel

Last synced: 09 May 2026

https://github.com/smusab9152/bpm_pred_songs

ML project to predict the Beats Per Minute (BPM) of a song using various audio features. This is a submission for the Kaggle Playground Series (S04E02). The notebook covers a full data science workflow, including EDA, handling skewed data with log transformations, feature scaling, and building various regressions

data-science jupyter-notebook kaggle-competition machine-learning pandas regression scikit-learn

Last synced: 11 May 2026

https://github.com/jobanjps089/mental_wellness

This project is a Flask web application that predicts mental wellness levels based on lifestyle factors such as screen time, sleep hours, and work-related screen exposure. It uses a Machine Learning model trained in Google Colab and deployed via Hugging Face Spaces for public access.

flask joblib puthon3 scikit-learn

Last synced: 16 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/chirindaopensource/strapsim_portfolio_similarity_metric

End-to-End Python implementation of STRAPSim: a novel portfolio similarity metric from Li et al. (2025). Combines Random Forest proximity learning with residual-aware bipartite matching to quantify economic substitutability between ETF baskets. Full replication pipeline included.

asset-management bipartite-matching corporate-bonds etf-analysis fixed-income jupyter-notebook machine-learning numba pandas portfolio-optimization portfolio-similarity proximity-matrix python quantitative-finance random-forest research-replication scikit-learn similarity-metrics statistical-analysis supervised-learning

Last synced: 28 Apr 2026

https://github.com/affan005-ai/tesla-stock-prediction

This project analyzes Tesla stock data and builds machine learning models to predict and classify stock movements. The analysis includes EDA, feature correlation, moving averages, and two models

data data-analysis data-science data-visualization-project eda machine-learning matplotlib pandas predictive-analytics predictive-modeling python scikit-learn

Last synced: 05 Oct 2025

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

https://github.com/nihanthbhargav/time-series-stock-market

This project combines computer vision and NLP by segmenting pet images with a U-Net model and generating captions using CNN-RNN/LSTM. Using the Oxford-IIIT Pets dataset, it demonstrates a unified pipeline that integrates pixel-level segmentation with automatic caption generation for meaningful image understanding.

matplotlib numpy pandas plotly python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/disney35/stock-prices-dashboard

A dashboard to analyze, predict, and visualize stock prices using Python & LSTM

ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance

Last synced: 12 Apr 2026

https://github.com/khaifara/klafisikasi_jeruk_faiz_kece

Step by step machine learning classification dengan StandardScaler, OneHotEncoder, OrdinalEncoder, ColumnTransformer, Pipeline, Classification Report, Confusion Matrix dan deployment menggunakan Streamlit

machine-learning scikit-learn streamlit

Last synced: 05 Oct 2025

https://github.com/veerchaudhary0708/credit-fraud-detection

An end-to-end machine learning project to detect credit fraud using XGBoost.

datascience fintech fraud-detection machinelearning scikit-learn xgboost

Last synced: 18 May 2026

https://github.com/inesruizblach/data-science-project

A data science project exploring Portuguese "Vinho Verde" wine quality prediction. Features EDA, feature engineering, ML models, and evaluation using Python, pandas, scikit-learn, and visualization tools.

binary-classification classification data-science exploratory-data-analysis feature-engineering imbalanced-learn jupyter-notebook machine-learning model-evaluation pandas regression scikit-learn seaborn uci-dataset wine-quality

Last synced: 09 May 2026

https://github.com/kianaabrisham/naive-bayes-sentiment

Sentiment classification using Multinomial NB (scratch + sklearn)

bag-of-words naive-bayes nlp scikit-learn sentiment-analysis text-classification

Last synced: 14 May 2026

https://github.com/scorchinghot/core-machine-learning-exploration

This repository provides a hands-on exploration of classical machine learning algorithms applied to the MovieLens 100k dataset, aiming to build intuition and understanding of core ML concepts.

core-ml data-science hands-on machine-learning ml-algorithms python scikit-learn tutorial

Last synced: 05 Oct 2025

https://github.com/vedanty3/bulldozer-price-prediction

A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.

andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm

Last synced: 05 Apr 2026

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