Welcome to my repository dedicated to the study of machine learning and deep learning concepts. Here, you will find a collection of experiments and studies covering various aspects of these exciting fields.
In the Experiments folder, you'll discover practical experiments that I have developed to explore and apply machine learning and deep learning techniques. Each experiment is designed to provide hands-on experience and insights into specific concepts.
The Studies folder is organized into three subfolders, each focusing on a distinct area of interest:
The Natural Language Processing (NLP) folder includes studies such as sentiment analysis, text classification, and language modeling to gain a deeper understanding of language processing techniques.
The PyTorch folder contains notebooks dedicated to mastering this powerful deep learning framework. Delve into the PyTorch library to understand its syntax, build neural networks, and explore various deep learning concepts.
The TensorFlowKeras folder houses studies that showcase the versatility and capabilities of these popular frameworks. Discover the TensorFlow and Keras ecosystems for building and training machine learning and deep learning models.
Feel free to explore the content in each folder. The experiments offer hands-on coding experiences, while the studies provide a more in-depth exploration of specific topics. Whether you're a beginner or an experienced practitioner, this repository aims to provide valuable insights and practical knowledge.