predictive-analytics

There are 823 repositories under predictive-analytics topic.

  • spring-cloud/spring-cloud-dataflow

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

    Language:Java1.1k983.5k577
  • ScottfreeLLC/AlphaPy

    Python AutoML for Trading Systems and Sports Betting

    Language:Python1.1k6242198
  • retentioneering-tools

    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.

    Language:Python7744920120
  • rjurney/Agile_Data_Code_2

    Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

    Language:Jupyter Notebook4564699306
  • jthomperoo/predictive-horizontal-pod-autoscaler

    Horizontal Pod Autoscaler built with predictive abilities using statistical models

    Language:Go32884129
  • 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.

    Language:Jupyter Notebook266469126
  • nabeel-oz/qlik-py-tools

    Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

    Language:Python1852711787
  • mplatzer/BTYDplus

    R package for Customer Behavior Analysis

    Language:R181355449
  • genular/pandora

    PANDORA - Predictive Analytics aNd Data Oriented Research Applications :computer:

    Language:Vue133112321
  • 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.

    Language:Jupyter Notebook1272156
  • Data-Analyst-Roadmap

    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.

    Language:Jupyter Notebook1103014
  • Payroll-Engine/PayrollEngine

    Framework for developing low-code/no-code payroll solutions focused on automation, scalability and testability.

    Language:TSQL704010
  • xcast

    kjhall01/xcast

    A High-Performance Data Science Toolkit for the Earth Sciences

    Language:Jupyter Notebook655346
  • 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.

    Language:Java649920
  • 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.

    Language:Jupyter Notebook511115
  • anishsingh20/Human-Resource-Analytics-and-Employee-Churn-Prediction

    A Data science and Analytics project with the main aim of doing some Descriptive and Exploratory Data Analysis and then applying predictive modelling for predicting why and which are the best and most experienced employees leaving prematurely?

    Language:R476031
  • gabri-al/sarima_dashboard

    Introducing a Dash web app that guides the analysis of time series datasets, using sARIMA models

    Language:Python471113
  • 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)

    Language:Python442023
  • mljar/mljar-api-python

    A simple python wrapper over MLJAR API.

    Language:Python42111010
  • dependable-cps/FDIA-PdM

    False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

    Language:Python413122
  • JasonMDev/learning-python-predictive-analytics

    Tracking, notes and programming snippets while learning predictive analytics

    Language:Python415038
  • RajdeepKonwar/stockast

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

    Language:C++416323
  • 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.

  • ExcViral/adaptive-forex-forecast

    An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms

    Language:Python356120
  • karthickai/Linear-Regression

    Machine Learning - Linear Regression_Ecommerce_Prediction

    Language:Jupyter Notebook291041
  • sahutkarsh/loan-prediction-analytics-vidhya

    The solution to the Loan Prediction Practice Problem on Analytics Vidhya (https://datahack.analyticsvidhya.com/contest/practice-problem-loan-prediction-iii/)

    Language:Jupyter Notebook292038
  • datamininggroup/pfa

    Portable Format for Analytics

    Language:TeX2713148
  • smaakage85/modelgrid

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

    Language:R23307
  • pratjz/Nanodegrees

    Nanodegree programs https://www.udacity.com/nanodegree

  • balaji-munusamy/student-grade-analytics

    Analyse academic and non-academic information of students and predict grades

    Language:Jupyter Notebook2014015
  • IBM/maximo-predictive-maintenance

    Language:Jupyter Notebook208115
  • Grv-Singh/Solar-Power-Forecasting

    ⚡ Power forecasting of 💚 renewable energy power plants is a very active research field, as reliable information about the 🔮 future power generation allow for a safe operation of the power grid and helps to ⤵ minimize the operational costs of these energy sources.

    Language:Python191213
  • joymnyaga/CreditAnalytics-Loan-Prediction

    A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors

    Language:Python191115
  • xforecast

    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

    Language:Python183122
  • jalajthanaki/stock_price_prediction

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

    Language:Jupyter Notebook173015
  • chrisby/SoccerGPT

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

    Language:Jupyter Notebook160