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1. Unsupervised-ML Unsupervised-ML Public

   Unsupervised Machine Learning techniques (R and Python): CLUSTERING, FACTOR ANALYSIS AND CORRESPONDENCE ANALYSIS

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2. DeepLearning DeepLearning Public

   Deep Learning concepts and techniques: Regularization, Epochs, Batch,Hyperparameters, Cross validation, Optimizers

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3. ApacheSystemML ApacheSystemML Public

   The purpose of this repository is to process data , prepare it, and build models to predict certain activities using ML techniques. The entire process leverages PySpark for distributed data process…

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4. Embeddings Embeddings Public

   Embeddings for Flight Price Prediction. The dataset has few variables, being a true challenge to improve the model's performance. Here, we test the quality & robustness of embeddings for categorica…

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5. DeepLearningSpecialization DeepLearningSpecialization Public

   Deep Learning Specialization (Intermediate level): A sequence of 5 courses from Deep Learning.AI - Neural Networks and Deep Learning, Hyperparameter Tuning, Regularization and Optimization, End-to-…

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