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👋 Hey there! I'm Siddarth, a passionate and determined Machine Learning (ML) engineering student on a journey to explore the fascinating world of artificial intelligence. 🚀

🎓 Currently pursuing my studies in ML engineering, I'm eager to leverage cutting-edge technologies to create innovative solutions and make a positive impact. With a strong foundation in mathematics, statistics, and programming, I'm continually sharpening my skills to stay ahead of the ever-evolving ML landscape.

💡 As a budding ML engineer, I thrive on the excitement of diving deep into complex datasets, unravelling patterns, and uncovering insights that drive meaningful decisions. From classification and regression to deep learning and natural language processing, I'm always eager to explore new techniques and algorithms that fuel my curiosity.

💻 I'm no stranger to the world of code, as I have gained hands-on experience with Python, R, and TensorFlow. With a solid understanding of data preprocessing, feature engineering, and model evaluation, I'm well-equipped to tackle real-world ML challenges.

🌟 Collaborative by nature, I believe in the power of teamwork and open-source contributions. I love collaborating with fellow enthusiasts, brainstorming ideas, and pushing the boundaries of what ML can achieve. You can often find me tinkering with projects on GitHub, sharing my code, and actively learning from the vibrant ML community.

🌱 As I embark on my ML journey, I'm determined to continue growing and learning every day. By staying up-to-date with the latest research papers, attending conferences, and engaging in online courses, I aim to deepen my expertise and remain at the forefront of ML innovation.

💌 If you share a passion for ML, and technology, or want to connect, feel free to reach out. Let's collaborate, learn, and make an impact together! 🤝

Siddarth Chandrasekar's Projects

neuralnetworkfromscratch icon neuralnetworkfromscratch

A repo with neural network algorithms implemented from scratch. (No external libraries like tensorflow). Done as a project

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