A repo containing all the projects I'm doing in kaggle in my journey to learn ML/AI engineering. Feel free to star/fork the repo if you wish to.

A structured end-to-end AI/ML engineering journey covering mathematics, machine learning, deep learning, large language models, MLOps, and production-grade projects. Built with a strong focus on fundamentals, implementation, and real-world systems.

100-day chronological machine learning journey covering data preprocessing, EDA, feature engineering, and core ML algorithms with hands-on notebooks and experiments.

A structured learning journey through Machine Learning Engineering, covering cloud platforms, Docker, Airflow, and ML projects

MY JOURNEY INTO ML Engineering

A structured AI & Machine Learning engineering journey covering Python, Data Science, Machine Learning, Deep Learning, Generative AI, and real-world projects with complete implementations and experiments.

My Software Engineering journey in ML

Personal GitHub profile showcasing my journey in AI/ML, cloud computing, and software engineering

Structured applied machine learning journey covering concepts, feature engineering, EDA, and end-to-end ML pipelines.

Welcome to my personal portfolio repository! This project showcases my journey as a Computer Science & Engineering student, high-impact AI/ML research, and full-stack development expertise.

This repository documents my journey to becoming a production-ready ML Engineer. It covers data pipelines, feature engineering, model training, deployment, monitoring, and MLOps concepts with clear notes, diagrams, and hands-on projects focused on building reliable, real-world ML systems.

This repository documents my learning journey from Software Engineering (SE) to Machine Learning (ML). It includes various introductory notebooks and projects to help transition from SE concepts to fundamental machine learning techniques.

My learning journey from CS fundamentals to deep learning engineering. Documenting coursework, self-study, paper implementations, and projects that go beyond the classroom. Building depth in ML/DL through hands-on experimentation.

Machine-Learning-2.0: A comprehensive repository documenting my journey to master ML from scratch. It includes core algorithms, advanced techniques, data preprocessing, feature engineering, and real-world projects. Follow my structured approach, inspired by "100 Days of ML," featuring Python implementations, tools, and insightful resources.

Explore my dynamic portfolio website, showcasing my expertise in software development, cyber security, MERN stack, AI/ML, and data science. Crafted to highlight my journey as a CSE student at Shri Ramdeobaba College of Engineering and Management.

“This project strengthens my AI engineering journey by applying real-world ML workflows—EDA, preprocessing, classification, clustering, model evaluation, tuning, and deployment-ready saving—using a large ecommerce dataset. It builds practical, job-ready machine learning skills.”

This repository contains my end-to-end Machine Learning learning journey, where I implemented core ML concepts from scratch and using industry-standard libraries. It includes data preprocessing, exploratory data analysis (EDA), feature engineering, model building, evaluation, and ensemble techniques.

A personal GitHub profile project showcasing skills, projects, and technical interests in software engineering, AI/ML, and cloud solutions. Includes highlights of hands-on projects, certifications, and tools, serving as a central hub to demonstrate coding expertise, learning journey, and professional development.

Hi there! I'm Amaan Kazi, a passionate Full Stack Developer and AI & Machine Learning Specialist currently pursuing a Bachelor's in Computer Science Engineering (AI & ML). My journey revolves around creating impactful web applications and leveraging machine learning to solve complex problems.

Welcome to my portfolio showcasing a journey of innovation and creativity. Explore my projects, ranging from AI/ML ventures to software engineering marvels. Discover my passion for cutting-edge technologies and my dedication to crafting scalable solutions. Let's connect and embark on a digital exploration together.

DAILY-TASK: My Learning & Development Journey repository documenting my growth in MLOps and AI Engineering. It serves as both a portfolio and knowledge base, showcasing production-ready ML pipelines and core Python development practices. With projects on MLOps, AgenticAI, each commit reflects my continuous learning and practical implementations.

AIJ_Python_Project is a structured Python practice project focused on improving logic building, modular coding, and problem-solving skills. It helps strengthen the foundational programming abilities needed for AI, ML, and data engineering workflows. This project acts as a strong first step in the journey toward becoming an AI Engineer.

ml-engineering-journey

Developing a pathway to becoming a credible machine learning engineer supported by developing a portfolio of work

Data Science to ML Engineering

Documentation of my technical evolution in Machine Learning and Data Engineering. A central repository for end-to-end AI solutions, ETL pipelines, and data-driven research projects.

This repository documents my multi-year learning program to become a strong **AI Engineer + Quant Developer**. It’s a public, disciplined record of work meant for employers and collaborators who want evidence of skill growth, execution habits, and professional communication

Gradual ML learning...

No description available

No description available