LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Jupyter metapackage for installation and documentation
"I learned Python by hacking first, and getting serious later. I wanted to do this with Machine Learning. If this is your style, join me in getting a bit ahead of yourself."
Notebooks and code for the book "Introduction to Machine Learning with Python"
Python
