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.

ML project - Identify Regime Shift in Stock Market

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

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

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.

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

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

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

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

Exploratory analysis and predictive analytics using bank data.

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.