Tag: TensorFlow
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Hugging Face NLP, Streamlit, PyGWalker, TF & Gradio App
The objective of this project is to democratize and advance ML/AI for everyone by building the large open-source showcase of Hugging Face NLP, Streamlit/Dash Jupyter PyGWalker Exploratory Data Analysis (EDA), TensorFlow Keras and Gradio App deployment. There is no better way of showcasing your results than creating an interactive demo to try them out! This…
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Robust Fake News Detection: NLP Algorithms for Deep Learning and Supervised ML in Python
The project aims at setting up a robust system for fake news detection using Python. The system adopts a hybrid framework, leveraging Natural Language Processing (NLP) techniques to classify text-based fake vs real news. Involving exploratory data analysis, multi-model training, testing, validation, and performance metrics comparison, it assesses different Deep Learning, Supervised Machine Learning, and…
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ML/AI Image Classifier for Skin Cancer Detection
Skin cancer is one of the most active types of cancer in the present decade. As the skin is the body’s largest organ, the point of considering skin cancer as the most common type of cancer among humans is understandable. It is generally classified into two major categories: nonmelanoma (benign) and melanoma (malignant) skin cancer…
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E-Commerce ML/AI Classification
The article outlines the process of using TensorFlow to categorize clothing images. It involves pre-processing data, building an ML model, and making predictions. The application relies on Python and Jupyter Anaconda IDE, using the tf.keras high-level API. The dataset comprises 60,000 grayscale images in various fashion categories, with data divided into training and testing sets…
