/TensorFlow-Model-Exploration

Exploring diverse machine learning models and techniques using TensorFlow for predictive analysis and pattern recognition.

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TensorFlow-Model-Exploration 🚀

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Welcome to my TensorFlow Machine Learning Projects repository! Here, I embark on an exciting journey through the realm of machine learning using TensorFlow, showcasing my work on captivating datasets like:

Sentiment Analysis using Natural Language Processing With RNN on IMDb Dataset 📽️

In this project, I worked on sentiment analysis using Natural Language Processing (NLP) techniques with Recurrent Neural Networks (RNN) on the IMDb dataset. I explore the world of text classification and sentiment prediction, demonstrating how RNNs can be applied to analyze and classify movie reviews based on sentiment.

Fashion MNIST Neural Network Model - Exploring Image Classification with Keras 👗

The exploration continues with the Fashion MNIST Neural Network Model, where I delve into the realm of image classification using the Keras dataset. By implementing various neural network architectures, I delve into the intricacies of classifying fashion items with remarkable accuracy.

Reinforcement Learning With Q Learning 🎮

I worked on reinforcement learning using the OpenAI FrozenLake dataset, applying Q-Learning techniques to train an agent in navigating through the environment. This project showcases my skills in reinforcement learning and agent-based modeling.

Iris Dataset - Navigating Classification with TensorFlow 🌼

In the Iris dataset project, I tackle classification tasks using TensorFlow's versatility. I harness diverse classification techniques and explore Deep Neural Networks (DNN) architecture for classification. This project showcases TensorFlow's capabilities and highlights the process of building and training classification models.

Titanic Dataset - Exploring Linear Regression ⚓

The voyage moves forward with the Titanic dataset project, where I delve into predicting continuous target variables using the powerful Linear Regression model. This venture provides an illuminating introduction to TensorFlow's application in regression tasks, covering data preprocessing, model construction, and comprehensive evaluations.

NLP with RNN 📜

I worked on sentiment analysis and auto-generated English sentences using the Shakespeare dataset, demonstrating my expertise in Natural Language Processing with Recurrent Neural Networks. This project highlights my skills in text generation and sentiment analysis.

Other Notable Projects 🌟

In addition to the projects mentioned above, I have also worked on the following project:

  • fcc_sms_text_classification: I worked on text classification using FreeCodeCamp's SMS dataset, showcasing my skills in handling text data and building classification models.

Certification 🎓

I have successfully completed the FreeCodeCamp TensorFlow course, and you can verify my certification here.

My journey with TensorFlow and machine learning continues to unfold. I am excited to continue exploring various other techniques and approaches using TensorFlow. As I learn and experiment more, I will update this repository with new projects, each contributing to a comprehensive understanding of machine learning concepts and TensorFlow's features.

🌟 Follow me and star this repository to stay tuned for more exciting models and projects! 🌟