Lecture 22 of the Innoquest Cohort-1 training was a masterclass on LLMs: their mechanics, fine-tuning, and real-world applications. These insights are driving my multi-category reviews classifier project forward. Read more about my journey and takeaways.
In this session of Innoquest Cohort-1, I gained invaluable insights into NLP preprocessing techniques, embeddings, and how to leverage CNNs for text classification. These hands-on lessons not only sharpened my skills but also laid the foundation for applying these concepts to real-world AI projects.
Building an ANN for CIFAR-10 classification during Innoquest Cohort-1 AI/ML Training was a hands-on opportunity to master neural network design. While ANNs are suboptimal for image data, this assignment strengthened my skills in PyTorch, architecture design, and data preparation.
Delve into Reinforcement Learning, covering its components, types, and practical applications.
From PCA to building efficient recommendation systems, this lecture was a hands-on journey bridging theory and practical.
This class deepened my understanding of machine learning, exploring SVM, XGBoost, ensemble learning, and model evaluation techniques. This blog highlights...
From clustering algorithms to recommendation systems, Class 15 at the Innoquest Cohort-1 AI/ML Training Program deepened my expertise in AI. These advanced techniques are more than theory—they're the tools transforming industries. 🌟🚀
Discover my transformative experience in Class 13 of the InnoQuest Cohort-1, where I explored PyTorch tensors, GPU capabilities, and custom model building, bridging the gap between AI theory and practice.
Discover how neural networks revolutionize problem-solving by leveraging hidden layers, multiple hyperplanes, and optimized learning techniques, as I explored in a deep dive with Dr. Ahmed Raza Shahid.
Explore the journey of predicting house prices and customer churn using regression and classification techniques. From preprocessing large datasets to building insightful models, this blog highlights key takeaways and practical lessons from the assignment.
