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amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

gans-in-action icon gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

goodrich icon goodrich

The source code for 'Data Structures and Algorithms in Python' by Goodrich, Tamassia, Goldwasser

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

nitw_pg_soltions icon nitw_pg_soltions

Post Graduate Program in Artificial Intelligence and Machine Learning from NIT Warangal

object-detection icon object-detection

Detecting objects using TensorFlow 2 on Ubuntu using object detection API

python-interview-problems-for-practice icon python-interview-problems-for-practice

120+ Common code and interview problems solved in Python **(it's GROWING...)** Give a Star 🌟If it helps you. Please go through the README.md before starting.

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