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1. Unsupervised-Clustering- Unsupervised-Clustering- Public

   Applying many Models for Clustering using dataset from Kaggel (wine_dataset , Dry_Beans_dataset) ones with PCA and another without

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2. Machine-Learning-Model-Diabetes-Prediction-with-Dashboard-ITI Machine-Learning-Model-Diabetes-Prediction-with-Dashboard-ITI Public

   Machine Learning prediction Model with Data visualization by Dash, Plotly, flask, html, css,JS and Python

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3. Numerical-Optimization-Technique Numerical-Optimization-Technique Public

   Applying Machine learning Gradient Descent Optimizers like(Batch - Mini Batch - Stochastic - Momentum based - Nestrove accelerated- Adagrad - Rmsprop - Adam - Adam with mini batch for multivariable…

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4. machine-learning-supervised- machine-learning-supervised- Public

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5. Dry-Beans-Classification-Competition Dry-Beans-Classification-Competition Public

   It's simple. You are given a set of features extracted from the shape of the beans in images and it's required to predict the type of each bean. There are 7 bean types in this dataset

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6. head_pose_estimation head_pose_estimation Public

   This project is developed using 68 landmarks of face to estimate 3 angle rotation, yaw, pitch, roll.

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