AA102020's starred repositories
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
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.
100-Days-Of-ML-Code
100 Days of ML Coding
ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Probability-Distributions-for-hydrology-with-R
scripts developed for course of statistical hydrology - IMF - UNMSM.
Python-DataUpdate-DataProcessor-kbn
The python module can be used to scrape data and process data from different sources. The python module can output data as either as a dataframe in the country year format or it will output data in excel files This module has primarily been created for processing data for the International Futures (IFs) Project however, it can be used to process data in general. The module can be used to process data from the following sources, 1) World Bank World Development Indicators (WDI) 2) UNESCO Education indicators(UIS) 3) FAO Food Balance Sheets (FAO) 4) IMF Global Finance Statistics (IMF GFS) 5) Health data from the Institute for Health and Metric Evaluation (IHME) 6) Water data from FAO AQUASTAT 7) Energy data from EIA Currently this module can be run as is on Windows. For usage on Macs, the user may have to make changes to the code lines which specify paths.
example-scalping
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
blockchain_guide
Introduce blockchain related technologies, from theory to practice with bitcoin, ethereum and hyperledger.
FinanceAnalysis
Along with FinanceCenter project, magic begin from here
helper_scripts
collection of utilitiy functions