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customer-churn-analysis

This GitHub repository showcases a customer churn prediction model developed with various machine learning algorithms, including Logistic Regression, Decision Tree, SVM, and Random Forest. Explore EDA, data preprocessing, and model building using Pycaret for efficient development. Enhance customer retention strategies with data-driven insights.

faculty-based-subject-allocation-using-csp

This GitHub project provides a solution for university subject-faculty mapping. The use a local search (hill-climbing) approach to efficiently allocates subjects to faculty while meeting constraints. Simplify academic resource allocation with this iterative "best score" method.

machine-learning-based-sentimental-analysis-on-the-outbreak-of-covid

Explore sentiment patterns related to the COVID-19 outbreak using this GitHub repository. This machine learning model, trained on Twitter data, classifies tweets into positive, negative, or neutral sentiments, achieving an impressive 87% accuracy. Gain insights into public sentiment during the pandemic.

ml-project-drug-review-dataset

This is an innovative machine learning project that utilizes patient reviews with many other attributes to analyze and evaluate the effectiveness of drugs.

oibsip_task-1

oibsip_task-2

oibsip_task-3