This repository contains a collection of data science and machine learning tasks completed as part of an internship. Each task demonstrates different skills including data preprocessing, exploratory analysis, model building, evaluation, and visualization using tools like Streamlit, Scikit-learn, Plotly, and SHAP.

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🚀 A collection of advanced AI/ML internship tasks completed at DevelopersHub Corporation (DHC), covering projects in regression, classification, clustering, recommendation systems, deep learning, fine-tuning LLMs, and real-world applications like chatbots and support ticket auto-tagging.

The internship involves actively contributing to and advancing the assigned tasks, ensuring they align with organizational goals while fostering profession

This repository contains the Basic-Advance level Data Science and Business Analytics tasks assigned in the Graduate Rotational Internship Program by TSF. (Feb '21)

This repository contains basic to advance level of tasks in machine learning that am going to perform in my Machine learning internship at Zummit Infolabs.

🚀 Final Project & Optimization | Task - 5 Thrilled to wrap up the final milestone of my internship journey at ApexPlanet Software Pvt. Ltd. — where I built and optimized a comprehensive web application using core frontend technologies. 🌐Capstone Project - Combined all skills to develop a full web app Advance Portfolio Website Use Html, Css, JS

Fine-tuned a BERT Transformer model to achieve high-accuracy news headline classification with a live Gradio deployment.

Internship Advance Task 1

Innomatics Internship Day-1 Advance Task

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A collection of advance machine learning tasks and projects completed during my AI/ML Engineering Internship.

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Bank marketing and customer analytics project. It uses supervised learning (Logistic Regression, Random Forest) for *term deposit prediction* and unsupervised learning (K-Means) for *customer segmentation*, with a focus on feature engineering and model explainability.

Advanced internship tasks for Data Science & AI/ML Engineering at DevelopersHub Corporation. Covers classification, clustering, time series forecasting, XAI, and BI using tools like pandas, scikit-learn, xgboost, shap, Prophet, and Streamlit.

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This repository contains all 4 completed advanced tasks for the AI/ML Engineering Internship. Each task is implemented as a self-contained Google Colab notebook with full documentation.

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Advance (EDA) Python Programming – Internship Task 3

All advance tasks of internship, Data Science.

Linked List Implementation

DATA COMPRESSION TOOL

Compiler Design Basics

File Handling Program

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