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.

A basic machine learning model built in python jupyter notebook to classify whether a set of tweets into two categories: racist/sexist non-racist/sexist.

Campaign to improve Conversion Tracking on website and how the company can use Google Analytics to better understand the market

The primary goal is to develop a predictive model that leverages historical data, machine learning algorithms, and real-time market trends to empower users with insights for informed decision-making in air travel planning.

You can find projects about Predictive Analytics for Business. There are 6 projects in this repo.

Interactive S&P 500 stock price prediction app using machine learning and Streamlit. Visualise trends, forecast prices, and explore data insights.

This project leverages AutoGluon in AWS SageMaker Studio to predict bike sharing demand, automating model training and tuning for accurate forecasting.

ClaimAudit AI uses machine learning to detect potentially inappropriate billing patterns, upcoding, and duplicate services across vast claim datasets. Its predictive models identify providers with outlier billing patterns and automatically flags claims for review before payment, reportedly saving insurers an average of 7-9% on claim payments.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Crop Yield Prediction Using Machine Learning analyzes soil and weather data to forecast crop production, helping farmers improve planning, optimize resources, and increase agricultural productivity.

An applied predictive modeling project in R-programming language classifying water potability.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. RNNs for Time Series Forecasting leverages deep learning to model sequential data and predict future trends, enabling accurate forecasting for decision-making in real-world applications.

Exploratory analysis and predictive analytics using bank data.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Fault Prediction in Software Modules uses predictive analytics and ML to identify high-risk code segments, helping teams reduce errors, improve software reliability, and ensure better quality before deployment.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Predictive Analytics for Retail Demand Forecasting leverages AI to analyze sales trends and market data, enabling accurate demand predictions, optimized inventory management, and improved retail profitability.

Our Healthcare Inventory Forecasting solution uses AI-driven models to optimize inventory, reduce stockouts, and prevent overstocking in healthcare. It integrates data from sales and market trends, using ARIMA and VAR models for precise demand forecasting. With automation from OpenAI, Power BI visualizations, and chatbot support, the system enhanc

This application optimizes technical sales workflows by combining customer relationship management with data analysis tools for marketing and predictive analytics, enabling efficient management of client interactions, sales opportunities, orders, and invoices, while improving strategies and customer engagement through data-driven insights.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Deep Learning in Financial Market Prediction leverages neural networks to analyze market data, forecast price movements, and support intelligent investment and risk management strategies.

The repository contains code for the prediction of the IMDB rating/score of the movie.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Agile Sprint Planning with AI-based Predictions uses artificial intelligence to forecast task durations, optimize team workload, and enhance sprint efficiency for better project management and timely delivery.

This Machine Learning project predicts credit card application approvals using structured applicant data. It includes data preprocessing, model training, and FastAPI deployment for accurate real-time predictions.

No description provided.

A data-driven project aimed at predicting crime rates in various regions using machine learning algorithms and statistical models. Crime Rate Prediction Project Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

A predictive analytics project leveraging machine learning algorithms to forecast the likelihood of heart disease in patients. Heart Disease Prediction Using Machine Learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

This project predicts thyroid cancer recurrence using machine learning on 15 years of data, with a Random Forest model achieving 98.7% accuracy. It features a patient prediction interface and a Power BI dashboard.