#Predictive-analytics
Showing 22 of 22 repositories tagged #predictive-analytics, ranked by stars
Python AutoML for Trading Systems and Sports Betting
A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes
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.
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
Horizontal Pod Autoscaler built with predictive abilities using statistical models
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
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.
PANDORA :computer:
Machine Learning - Linear Regression_Ecommerce_Prediction
A High-Performance Data Science Toolkit for the Earth Sciences
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.
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)
This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly.
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?
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
โก Power forecasting of ๐ renewable energy power plants is a very active research ๏ฌeld, as reliable information about the ๐ฎ future power generation allow for a safe operation of the power grid and helps to โคต minimize the operational costs of these energy sources.
The solution to the Loan Prediction Practice Problem on Analytics Vidhya (https://datahack.analyticsvidhya.com/contest/practice-problem-loan-prediction-iii/)
Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.
Black Friday Sales Analysis explores customer demographics, purchasing behaviors, and product trends to uncover insights and patterns driving sales during Black Friday events.
Regularly watering the plant or even moving it to a more sunny spot can sometimes significantly alter its habitat, increasing its likelihood of fully developing and/or growing. The user can organise the watering schedule for that plant if he or she is not present when the soil dries up by being reminded to water the plant at a specific time.
Open-source AI-powered quality management for regulated industries. React 19 + Hono + PostgreSQL + Prisma. eTMF, eConsent, batch records, design control, CAPA, deviations. 45+ models, 100+ endpoints, 18 countries, 12 languages. AGPL-3.0.