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Fundamental theory and practice in Data Science (DS).
🧮 data analysis AI ML DL machine lear... deep learning data science data-enginee... artificial i... data-science data preproc... Python C C++ NumPy pandas mathematics Algorithm algorithms Data Enginee... big data scipy scikit-learn xgboost lightgbm catboost TensorFlow keras PyTorch matplotlib seaborn plotly nltk opencv dask linear-algebra calculus probability statistics Discrete Mat... RUpdated -
Practical tasks on Deep Learning (DL) and Neural Networks (NN).
🤖 Python machine lear... deep learning NumPy matplotlib pandas AI mathematics computer vision natural lang... speech proce... PyTorch scikit-learn artificial i... ML DL big data data analysis scipy keras TensorFlow seaborn plotly nltk opencv dask Deep Nerual ... programming openml google colab google colla... google drive computer sci... CSV API python3 jupyter jupyter note... Anaconda Bash shell LaTeX MarkdownUpdated -
O Deep Thought computer," he said, "the task we have designed you to perform is this. We want you to tell us...The Answer!
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Fine tunning of a deep neural network (using convolutionnal layers) to reconize a digit from a picture of an handwritten one.
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Deep learning model that's using RNN and LSTM layers to predict prices on the stock market
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This repo contains the exercises for the udacity nanodegree on Deep Learning
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