The project focuses on developing a robust predictive machine learning model with high accuracy for customer churn prediction in subscription-based e-commerce platforms. It provides actionable insights for proactive retention strategies and decision-making by identifying and evaluating the key drivers of churn and retention.

This repository will contain the code and supplementary materials for my Streamlit sentiment detector Computer Vision model

Loan_dataset

Diabetes Prediction

salary prediction

An AI-driven platform offering crop recommendations, fertilizer suggestions, and disease detection for optimal farming

This project involves analyzing customer data for Sprocket Central Pty Ltd. The goal is to optimize the company's marketing strategy. We will assess data quality, target high-value customers, and develop a data-driven marketing plan. By leveraging customer data, we aim to provide valuable insights and recommendations to drive business growth.

AlmaBetter Capstone Project - Unsupervised ML. Developed a book recommendation system for Amazon customers using memory and model based collaborative filtering by utilizing the description of book consumed and user interests.

About The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables that are explained

To import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. I will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them.

Deployed different ML models using flask on static webpages