Kyubyong / numpy_exercisesLinks
Numpy exercises.
☆1,727Updated 2 years ago
Alternatives and similar repositories for numpy_exercises
Users that are interested in numpy_exercises are comparing it to the libraries listed below
Sorting:
- TensorFlow Exercises - focusing on the comparison with NumPy.☆535Updated 6 years ago
- An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017☆2,091Updated 2 months ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,802Updated 4 years ago
- Numpy beginner tutorial☆499Updated 5 years ago
- Tutorials on how to use pandas effectively to do data analysis☆1,106Updated 2 years ago
- A collection of IPython notebooks covering various topics.☆2,610Updated 4 years ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆895Updated 4 years ago
- Top Deep Learning Projects based on their Stars!☆433Updated last year
- Python coded examples and documentation of machine learning algorithms.☆611Updated 4 years ago
- use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm☆923Updated 6 years ago
- TensorFlow Tutorials☆2,601Updated 5 years ago
- Materials for my scikit-learn tutorial☆1,794Updated 2 years ago
- Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way☆1,451Updated 7 years ago
- Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.☆3,192Updated 5 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,955Updated 8 years ago
- 100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)☆2,753Updated last year
- A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization…☆912Updated last year
- Deep learning tutorials (2nd ed.)☆1,513Updated 9 years ago
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆4,449Updated 2 years ago
- Introduction to Statistics using Python☆907Updated 4 years ago
- Introduction to Deep Neural Networks with Keras and Tensorflow☆2,962Updated 2 years ago
- Topics Course on Deep Learning UC Berkeley☆1,301Updated 7 years ago
- Source code for the "Learning scikit-learn: Machine Learning in Python"☆395Updated 6 years ago
- Scikit-learn tutorial at SciPy2016☆516Updated 6 years ago
- Course notes for CS224N Winter17☆1,593Updated 8 years ago
- Matplotlib tutorial for beginner☆3,056Updated last year
- Machine Learning Problem Bible | Problem Set Here >>☆714Updated 5 years ago
- common data analysis and machine learning tasks using python☆5,475Updated last year
- A collection of video resources for machine learning☆1,547Updated 4 years ago
- The probability and statistics cookbook☆2,273Updated 2 years ago