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Projects in Awesome Lists tagged with predictive-analytics

A curated list of projects in awesome lists tagged with predictive-analytics .

https://github.com/spring-attic/spring-cloud-dataflow

A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes

batch-processing cloud-native datapipelines microservices-architecture orchestration predictive-analytics stream-processing

Last synced: 14 Jun 2025

https://github.com/spring-cloud/spring-cloud-dataflow

A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes

batch-processing cloud-native datapipelines microservices-architecture orchestration predictive-analytics stream-processing

Last synced: 12 May 2025

https://github.com/retentioneering/retentioneering-tools

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

behaviour-analysis business-intelligence clickstream customer-journey-map customer-segmentation data-visualization graph-visualizer library machine-learning machinelearning pandas predictive-analytics predictive-modeling product-analytics python segmentation user-trajectories user-trajectories-analysis web-analytics

Last synced: 06 May 2025

https://github.com/yangboz/lotteryprediction

:full_moon_with_face: Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

exploratory-data-analysis keras mine-data predictive-analytics scatter-plot series-analysis tensoflow time-series-analysis

Last synced: 05 Apr 2025

https://github.com/mplatzer/btydplus

R package for Customer Behavior Analysis

crm customer-behavior marketing-science predictive-analytics rstats

Last synced: 22 Oct 2025

https://github.com/mplatzer/BTYDplus

R package for Customer Behavior Analysis

crm customer-behavior marketing-science predictive-analytics rstats

Last synced: 29 Jul 2025

https://github.com/hemansnation/Data-Analyst-Roadmap

Data-Analyst-Roadmap for Professionals. This roadmap contains 8 Chapters that can be completed in 8 weeks, whether you are a fresher in the field or an experienced professional who wants to transition into Data Analysis.

analytics data-analysis data-analysis-python data-analytics data-science numpy predictive-analytics project-based-learning python statistics tableau

Last synced: 07 Sep 2025

https://github.com/hemansnation/data-analyst-roadmap

Data-Analyst-Roadmap for Professionals. This roadmap contains 8 Chapters that can be completed in 8 weeks, whether you are a fresher in the field or an experienced professional who wants to transition into Data Analysis.

analytics data-analysis data-analysis-python data-analytics data-science numpy predictive-analytics project-based-learning python statistics tableau

Last synced: 15 Apr 2025

https://github.com/jalajthanaki/customer_segmentation

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

customer-analytics customer-segmentation e-commerce-example machine-learning-algorithms predictive-analytics voting-classifier

Last synced: 11 Sep 2025

https://github.com/mbok/elasticsearch-linear-regression

A machine learning plugin for Elasticsearch providing aggregations to compute multiple linear regression on search results in real-time for predictive analytics.

elasticsearch elasticsearch-plugin linear-regression machine-learning predictive-analytics

Last synced: 26 Mar 2025

https://github.com/oborchers/medium_repo

This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly.

blog blogging business-analytics data-science data-science-notebooks deep-learning machine-learning machine-learning-algorithms marketing natural-language-processing neural-networks predictive-analytics predictive-modeling

Last synced: 02 Aug 2025

https://github.com/tatevkaren/artificial-neural-network-business_case_study

Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)

ann ann-model artificial-neural-network artificial-neural-networks bank-customers case-study churn-analysis data-science deep-learning machine-learning prediction-model predictive-analytics python3 tensorflow-tutorials

Last synced: 02 May 2025

https://github.com/zeeshanahmad4/stock-prices-prediction-ml-flask-dashboard

This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is mandatory An object of Flask class is our WSGI application.

classification data-mining data-science data-visualization dataset flask flask-dashboard linear-regression ml prediction prediction-algorithm prediction-model predictive-analytics python stock-analysis stock-market stock-prices stock-prices-prediction stock-trading visualization

Last synced: 07 May 2025

https://github.com/jasonmdev/learning-python-predictive-analytics

Tracking, notes and programming snippets while learning predictive analytics

dataset linear-regression logistic-regression predictive-analytics python

Last synced: 14 May 2025

https://github.com/JasonMDev/learning-python-predictive-analytics

Tracking, notes and programming snippets while learning predictive analytics

dataset linear-regression logistic-regression predictive-analytics python

Last synced: 19 Jul 2025

https://github.com/RajdeepKonwar/stockast

Predict stock market pricing over 180 minutes using Black-Scholes stochastic modeling and parallel Monte-Carlo simulations.

black-scholes c-plus-plus monte-carlo-simulation openmp parallel prediction-model predictive-analytics predictive-modeling stock-data stock-market stock-prediction stock-price-prediction stock-prices thread

Last synced: 30 Mar 2025

https://github.com/chrisby/soccergpt

Small POC to predict game outcomes of the 2024 European Championship using GPT-4o and sportmonks football API.

genai llm predictive-analytics soccer

Last synced: 19 Jul 2025

https://github.com/smaakage85/modelgrid

A Minimalistic Framework for Creating, Managing and Training Multiple Caret Models

caret machine-learning predictive-analytics predictive-modeling

Last synced: 21 Feb 2026

https://github.com/991o2o9/smart-cardiologist

Intelligent Python service with FastAPI for real-time heart disease predictions using machine learning. Features AI-assisted consultations, user authentication, analysis history, RESTful API, and comprehensive error handling. Secure and scalable solution for healthcare applications.

api artificial-intelligence data-science fastapi healthcare healthcare-technology heart-disease machine-learning medical-ai medical-diagnosis prediction predictive-analytics pydantic python rest-api scikit-learn swagger uvicorn

Last synced: 30 Aug 2025

https://github.com/jalajthanaki/stock_price_prediction

DJIA index prices of 10 years and NYtimes news articles headline has been used to predict the DJIA index prices

djia machine-learning predictive-analytics price stock-price-prediction

Last synced: 13 Oct 2025

https://github.com/xmigrate/xforecast

A light weight plug and play tool which can fit right in your observability stack and give valuable predictions on any of the metrics

aiops kubernetes-monitoring predictive-analytics proactive-remediations

Last synced: 18 Jul 2025

https://github.com/frutik/awesome-timeseries

Forecasting, anomaly detection, predictive analytics, econometrics and much more

anomaly-detection econometrics forecasting predictive-analytics timeseries

Last synced: 05 Mar 2026

https://github.com/lgdimaggio/predictive-maintenance-mcp

AI-Powered Predictive Maintenance & Fault Diagnosis through Model Context Protocol. An open-source framework for integrating Large Language Models with predictive maintenance and fault diagnosis workflows.

anomaly-detection asset-management bearing-fault-diagnosis claude-agents claude-ai condition-monitoring envelope-analysis fastmcp fault-diagnosis iiot industrial-iot industry-4-0 iso10816 machine-failure mcp-server model-context-protocol predictive-analytics predictive-maintenance signal-processing vibration-analysis

Last synced: 15 Feb 2026

https://github.com/sravb/nba-predictive-analytics

Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.

basketball data-mining data-science data-visualization decision-tree k-nearest-neighbors kaggle-dataset machine-learning matplotlib nba-analytics pandas predictive-analytics python scikit-learn scipy

Last synced: 07 May 2025

https://github.com/jasdumas/depaul

Coursework from DePaul MS in Predictive Analytics

coursework data-science grad-school predictive-analytics

Last synced: 05 Mar 2025

https://github.com/praveendinesha/sales-insights-analysis_e-commerce

Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.

business-intelligence data-visualization dax dax-expression dax-query decision-making-tools e-commerce-analytics power-bi-dashboard power-query predictive-analytics sales-analysis sales-forecasting

Last synced: 05 Jan 2026

https://github.com/akashkobal/predictive-analytics

Predictive analytics is conceptual in nature to achieve competitive strategy across industries. The learner's will be benefited in this repository to know about modern data analytic concepts and develop the skills for analysing and synthesizing data sets for decision making in the firms.

akash akash-kobal data-analysis-python data-analytics data-analytics-python datascience machinelearning predictive-analytics predictive-analytics-course predictive-analytics-tutorial predictive-analytics-using-python predictiveanalytics pres

Last synced: 01 Aug 2025

https://github.com/blue-davinci/optivest

The OptiVest project is a cutting-edge, AI-driven personal financial advisor platform designed to empower users with smarter financial management tools. Built with a focus on automation and real-time data insights, OptiVest combines dynamic portfolio analysis, personalized investment recommendations, and a suite of tools for financial management.

ai authentication-backend automation finance golang newsfeed newsfeed-aggregator postgresql predictive-analytics sse

Last synced: 18 Apr 2025

https://github.com/lfrench03/modelo-de-crecimiento-poblacional

Predictive analysis model of population growth: Estimation of carrying capacity with the Scipy Python module

cuba predictive-analytics scipy

Last synced: 15 Apr 2025

https://github.com/sparkience-ai/dssential-the-ai-chief

DSSential is an advanced decision support system that leverages AI, time series forecasting, and scenario analysis to empower businesses with data-driven insights and optimization. Make smarter decisions with cutting-edge tools for forecasting, sensitivity analysis, and goal setting.

decision-support-system generative-ai llm-engineering predictive-analytics

Last synced: 11 Apr 2025

https://github.com/axelseancp/concrete-strength-prediction

Predictive Analytics for Concrete Compressive Strength - A project from Dicoding's Machine Learning Expert Class, focused on predicting the compressive strength of concrete using machine learning algorithms.

machine-learning predictive-analytics python

Last synced: 28 Oct 2025

https://github.com/Daniellinders/predictive-analytics-supplementary-notes

Supplementary notes to Daniel Linders's lectures on predictive analytics with insurance and actuarial science applications.

actuarial actuarial-science predictive-analytics r

Last synced: 30 Jul 2025

https://github.com/mikehlee/coral.forest

Machine Learning to Forecast Risk of Coral Bleaching Events :0 (Random Forest) -> please read pdf and follow along with the provided code in RStudio

classification dataset machine-learning-algorithms predictive-analytics r

Last synced: 27 Feb 2025

https://github.com/nitin-sagar-b/dssential-the-ai-chief

DSSential is an advanced decision support system that leverages AI, time series forecasting, and scenario analysis to empower businesses with data-driven insights and optimization. Make smarter decisions with cutting-edge tools for forecasting, sensitivity analysis, and goal setting.

decision-support-system generative-ai llm-engineering predictive-analytics

Last synced: 25 Mar 2025

https://github.com/rikulauttia/ai-commercial-decisionmaking

AI-Driven Large Dataset Analysis & Commercial Decision-Making: Research on predictive analytics, machine learning strategies, and real-world business applications [Python, TensorFlow, PyTorch] 🤖📊

artificial-intelligence big-data business-intelligence business-strategy commercial-decision-making data-analysis data-science decision-making deep-learning machine-learning neural-networks predictive-analytics python research thesis

Last synced: 03 Mar 2026

https://github.com/ascender1729/collegeadmissionlogisticregression

Predictive analysis using logistic regression to determine college admissions based on CET scores. This project includes detailed steps for data preparation, model training, and evaluation using Python and scikit-learn in a Jupyter Notebook environment.

college-admission data-science education jupyter-notebook logistic-regression machine-learning predictive-analytics python sklearn

Last synced: 02 Aug 2025

https://github.com/nafisalawalidris/spacex-falcon-9-first-stage-landing-prediction

The project revolves around predicting the successful landing of the Falcon 9 first stage during SpaceX rocket launches. By leveraging the concepts and techniques learned in the specialization, we aim to develop a predictive model that can determine the likelihood of a successful landing.

cost-estimation data-science exploratory-data-analysis interactive-visualizations modelling predictive-analytics predictive-modeling python wrangling-data

Last synced: 19 Apr 2025

https://github.com/shervinnd/bitcoin-price-prediction-ml-dl

Predict Bitcoin prices with ML & DL models! 📈 Uses Ridge, Lasso, Random Forest, MLP, RNN & LSTM with hyperparameter tuning. 📊 Visualizes predictions & ROC curves. 🚀 Fetch data via yfinance, evaluate with MSE/R2. Perfect for crypto enthusiasts! 💸

cryptocurrency data-science data-visualization decision-tree deep-learning financial-modeling machine-learning neural-networks predictive-analytics price-prediction python random-forest regression rnn scikit-learn simple-rnn tensorflow time-series yfinance

Last synced: 15 Oct 2025

https://github.com/aliciusschroeder/leagueofpredictions

ML model predicting League of Legends match outcomes with 87.9% accuracy pre-game. Outperforms 50% ELO baseline utilizing historic match data and machine learning.

data-collection data-science elo-rating-system game-prediction game-strategy league-of-legends machine-learning model-training model-validation predictive-analytics python riot-games riot-games-api

Last synced: 10 Feb 2026

https://github.com/willie-conway/datavista-command-line-application

A robust 🐍Python application for data analysis that provides a wide range of tools for 🔃loading, 🧹cleaning, and 🔃preprocessing data. It includes features for 📈statistical analysis, 👨🏿‍🔬hypothesis testing, 🦾machine learning, clustering, ⏳time series forecasting, and 📊data visualization, all designed to enhance your analytical workflow.

analytics big-data command-line data-analysis data-cleaning data-driven data-mining data-pipeline data-preprocessing data-science data-scientist data-visualization data-wrangling exploratory-data-analysis machine-learning pandas predictive-analytics python statistics visualization-tools

Last synced: 30 Jun 2025

https://github.com/karimosman89/iot-predictive-maintenance

This repository will simulate an IoT-based predictive maintenance system designed to monitor industrial equipment through sensors. It will include data ingestion, processing, and machine learning components to predict potential failures, optimizing maintenance schedules and reducing downtime.

api cloud-platform dashboard data-collection data-processing deployment iot-platform predictive-analytics pressure-sensor real-time-sensor sensors spark temperature-sensor vibration

Last synced: 17 Jun 2025

https://github.com/ayushverma135/heliverse-ai-internship-assessment-predicting-employee-attrition

Predicting employee attrition entails gathering historical data on employees, identifying key features, training machine learning models, and deploying them for real-time predictions to aid in retention strategies and organizational stability. Regular monitoring and updates ensure ongoing effectiveness.

artificial-intelligence attrition-analysis machine-learning predictive-analytics python python3

Last synced: 21 Feb 2025

https://github.com/aaryan-agr/book-recommendation-system

A Book Recommendation System that explores Content, Collaborative and Hybrid Filtering to recommend an ideal book for an user

data-science deep-learning feature-engineering machine-learning predictive-analytics python recommendation-system

Last synced: 06 Oct 2025

https://github.com/visheshc14/acm-vit-submission

Predictive Data Analysis & Text Summarization Using Machine Learning. ACM-VIT Recruitment Task Submission

decryption encryption machine-learning predictive-analysis predictive-analytics predictive-maintenance predictive-modeling textsummarization

Last synced: 25 Dec 2025

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: 12 Mar 2025

https://github.com/avijit-jana/dominos-predictive_purchase_order_system

Domino’s aims to optimize ingredient ordering by predicting future sales using historical data. This will ensure accurate stock levels, minimize waste, prevent stockouts, and streamline purchase orders, enhancing inventory management, cost reduction, sales forecasting, and supply chain efficiency.

machine-learning pandas predictive-analytics purchase-order python3 sales-analysis time-series-forecasting waste-management

Last synced: 23 Feb 2025

https://github.com/tedoaba/kaim-w3

Risk and Predictive Analytics in the Area of Car Insurance Planning and Marketing

car-insurance dvc dvc-pipeline marketing predictive-analytics risk-analysis risk-management risk-prediction

Last synced: 20 Mar 2025

https://github.com/atxtechbro/glassdoorwebscraping

"Scraping Glassdoor: A GraphQL Journey" is an advanced data harvesting tool leveraging GraphQL and an API-first strategy to extract and analyze Glassdoor data for business intelligence and predictive analytics.

api-first-approach business-intelligence data-analysis data-harvesting data-mining data-science glassdoor-scraper graphql html machine-learning performance-optimization predictive-analytics python requests-library-python scaleability scraper system-design web-scraping

Last synced: 21 Mar 2025

https://github.com/ujjwalsaini07/smart-logistics-manager

Smart Logistics Manager 📊 is a MERN-stack web app providing a comprehensive dashboard for logistics management. Features include analytics, route optimization, real-time driver tracking, predictive metrics, and delivery performance monitoring. A complete admin dashboard solution for efficient logistics operations. 🚛

admin-dashboard delivery-monitoring logistics-dashboard logistics-manager mern-stack predictive-analytics real-time-tracking route-optimization smart-logistics supply-chain-management transportation-management trending trending-repositories

Last synced: 20 Jun 2025

https://github.com/vck9521/nfl-rookie-qbs

In this project, I use multiple linear regression to predict next contracts numbers of quarterbacks after their rookie deals in the NFL.

nfl predictive-analytics quarterbacks regression stata

Last synced: 07 Mar 2026

https://github.com/jasdumas/the-republic

Local Connecticut Election & Voter Data Analytics Projects 🇺🇸

election-analysis predictive-analytics statistics

Last synced: 02 Feb 2026

https://github.com/noleksiv/prediX

prediX - a mobile application which has an ability to make a prediction based on cast and crew previous experience.

cinema imdb movie-api movie-application movie-database movies prediction predictive-analytics predix xamarin xamarin-forms

Last synced: 12 Mar 2025

https://github.com/jen-uis/loan-status-prediction

This repository contains project materials for the Winter STAT 206 class, University of California, Riverside, A. Gary Anderson School of Management.

data data-analysis data-analytics data-cleaning data-visualization descriptive-analytics julia julia-language jupyter-notebook predictive-analytics predictive-modeling team-collaboration

Last synced: 02 Jan 2026

https://github.com/sayamalt/fraudulent-transactions-prediction

Successfully trained a machine learning model which can predict whether a given transaction is fraud or not.

data-visualization exploratory-data-analysis imblearn machine-learning model-based-testing model-building predictive-analytics sklearn

Last synced: 09 Nov 2025

https://github.com/mayumiwandi/proyek-machine-learning-dicoding-predictive-analytics-kualitas-apel

Ini adalah Proyek pertama dari Submission Machine Leraning terapan dari Dicoding yaitu Predictive Analytics

dicoding-academy dicoding-submission knn-classification machine-learning predictive-analytics

Last synced: 15 Mar 2025

https://github.com/lakshitalearning/churninsight

Customer Churn prediction means knowing which customers are likely to leave or unsubscribe from your service.

churn-prediction data-science flask google-colab machine-learning predictive-analytics python scikit-learn user-retention web-development

Last synced: 22 Jun 2025

https://github.com/akash1070/data-science-virtual-internship-by-anz

Exploratory data analysis and prediction of annual salary for customers from the dataset provided by ANZ.

data-analysis data-science predictive-analytics presentation-slides

Last synced: 24 Mar 2025

https://github.com/willie-conway/datavista

A robust 🐍Python application for data analysis that provides a wide range of tools for 🔃loading, 🧹cleaning, and 🔃preprocessing data. It includes features for 📈statistical analysis, 👨🏿‍🔬hypothesis testing, 🦾machine learning, clustering, ⏳time series forecasting, and 📊data visualization, all designed to enhance your analytical workflow.

analytics big-data command-line data-analysis data-cleaning data-driven data-mining data-pipeline data-preprocessing data-science data-scientist data-visualization data-wrangling exploratory-data-analysis machine-learning pandas predictive-analytics python statistics visualization-tools

Last synced: 27 Feb 2025

https://github.com/viktoriaszabo-sz/business-analytics

Assignment and project files from university's Business Analytics module

data-engineering predictive-analytics python

Last synced: 13 Jun 2025

https://github.com/rvats20/bitcoin-price-prediction

Bitcoin is a decentralized digital currency that has gained significant popularity over the years. Predicting its price can be challenging due to its volatility. This project leverages historical data and machine learning algorithms to forecast Bitcoin prices.

bitcoin-price machine-learning predictive-analytics python

Last synced: 31 Mar 2025

https://github.com/ayushverma135/retentionai

Forecasting Customer Retention Trends by analyzing historical patterns and identifying key indicators of customer loyalty or churn.

artificial-neural-networks lstm lstm-neural-networks machine-learning prediction-model predictive-analytics python

Last synced: 21 Feb 2025

https://github.com/ayushverma135/smartchessai

Smart AI solutions for chess piece recognition. uses powerful deep learning analysis to effectively detect and classify chess pieces under varied scenarios.

artificial-intelligence chess cnn-classification cnn-model deep-learning predictive-analytics

Last synced: 21 Feb 2025

https://github.com/chigwell/socialtextlytics

A new package that analyzes social media post text to extract structured insights about audience engagement patterns, such as identifying common themes in highly liked content or predicting potential

audience-engagement categorized-feedback comment-analysis content-insights description-analysis engagement-patterns highly-liked-content post-language-analysis predictive-analytics social-media-analysis structured-insights subscriber-growth text-analysis text-processing theme-identification

Last synced: 14 Jan 2026

https://github.com/vasugi2003/covid_19_daily_analysis

Analysis of COVID19 day to day updates using POWER BI analysis tool.

covid19 covid19-data csv data-science data-visualization dataanalytics powerbi predictive-analytics

Last synced: 29 Jan 2026

https://github.com/syncfusionexamples/ai-powered-predictive-analysis-for-stock-trends-in-.net-maui-sfcartesian-chart

This sample demonstrates how AI-driven predictive analysis is transforming stock trend forecasting using .NET MAUI SfCartesian Chart.

ai-powered-analysis maui-charts predictive-analytics stock-trend-forecasting stock-trend-prediction

Last synced: 12 Feb 2026

https://github.com/lefteris-souflas/election-classification-and-clustering-analysis

Creating predictive models to classify Trump's vote share and clustering counties based on demographics and economic variables. Report findings in PDF with detailed methodologies, model assessments, and R code for the project.

agglomerative-algorithm bootstrap-sampling classification clustering cross-validation data-cleaning decision-tree hierarchical-clustering model-evaluation model-interpretation predictive-analytics r random-forest silhouette-analysis statistics support-vector-machine variable-importance

Last synced: 02 Aug 2025

https://github.com/mohammadshabazuddin/advanced-customer-retention-strategies-in-telecom-attrition-prediction-and-analysis

This project develops a predictive model for customer attrition in the telecom industry using advanced machine learning techniques to identify high-risk customers and enable proactive retention strategies.

customer-retention data-science machine-learning predictive-analytics

Last synced: 05 Aug 2025

https://github.com/anusha-me/customer_churn_analysis

Predict and analyze telecom customer churn using machine learning techniques and business dashboards. This end-to-end project includes data preprocessing, EDA, model evaluation (SVM, XGBoost), real-time Streamlit deployment, and Power BI dashboard reporting. Built for actionable insights and decision support.

churn-prediction classification-model customer-analytics dashboard data-science eda machine-learning powerbi predictive-analytics python scikit-learn streamlit svm telecom xgboost

Last synced: 05 Aug 2025

https://github.com/ksm26/artificial-intelligence-in-quantitative-finance

End-to-end deep learning pipeline for quantitative finance, using LSTM and Transformer models to forecast returns and power dynamic, optimized portfolios. From data collection to backtesting, it delivers reproducible results, statistical validation, and clear visual insights for smarter financial strategies.

algorithmic-trading backtesting datascience financeai financial-markets financial-modeling fintech investment-strategies lstm portfolio-management predictive-analytics python pytorch quantitative-finance stock-market timeseries-forecasting transformers

Last synced: 14 Aug 2025

https://github.com/manish506/loan-approval-prediction

Explore predictive modeling in this project by applying classification techniques to a loan approval dataset. Analyze and preprocess the data, then use models like K-Nearest Neighbors, Random Forest, SVC, and Logistic Regression to predict loan outcomes. Gain insights into approval factors and enhance prediction accuracy.

classification classification-models data-analysis data-science jupyter-notebook loan-approval-prediction machine-learning predictive-analytics predictive-modeling project python

Last synced: 19 Jan 2026

https://github.com/jgurakuqi/pattern-estimation-and-trend-analysis

The goal of these examples is to analyse the given datasets to determine whether some models can be established for purposes of prediction, to assess how stepwise prediction behaves with respect to a personally chosen model and determine an unknown trend in the cereal dataset.

linear-regression logistic-regression models predictive-analytics predictive-modeling r regression-models rstudio stepwise-regression

Last synced: 09 Nov 2025

https://github.com/nabilalibou/uber_fare_prediction_explained

This repository documents a complete ML workflow to model Uber fares in Paris, from granular EDA and feature engineering to building and fine-tuning a stacking regressor on 10k real-world rides.

data-analysis data-science eda feature-engineering machine-learning predictive-analytics pricing-model python regression-model stacking-ensemble uber

Last synced: 12 Aug 2025