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| <sub>repo</sub> | <sub>comment</sub> | <sub>created_at</sub> | <sub>last_commit</sub> | <sub>star_count</sub> | <sub>repo_status</sub> | <sub>rating</sub> |
|:----------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------|:-------------------------------|:------------------------|:------------------------------------|:--------------------|
| <sub>[Advanced ML](https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises)</sub> | <sub>Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD)</sub> | <sub>2018-04-25 17:22:40</sub> | <sub>2020-01-16 17:25:41</sub> | <sub>1059.0</sub> | <sub>:heavy_check_mark:</sub> | <sub>:star:x4</sub> |
| <sub>[Advanced ML](https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises)</sub> | <sub>Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD)</sub> | <sub>2018-04-25 17:22:40</sub> | <sub>2020-01-16 17:25:41</sub> | <sub>1124.0</sub> | <sub>:heavy_check_mark:</sub> | <sub>:star:x4</sub> |
| <sub>[Twitter-Trends](https://github.com/Medha11/Twitter-Trends)</sub> | <sub>sentiment analysis baed on twitter data. Relevant topics include data cleaning/tokenization/data aggregation using mangodb etc.</sub> | <sub>2017-05-22 17:07:45</sub> | <sub>2017-05-23 08:06:27</sub> | <sub>74.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub>:star:x3</sub> |
| <sub>[Google-Finance-Stock-Data-Analysis](https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis)</sub> | <sub>data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained.</sub> | <sub>2017-07-23 02:59:59</sub> | <sub>2017-07-23 03:10:35</sub> | <sub>71.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub>:star:x3</sub> |
| <sub>[Twitter-Trends](https://github.com/Medha11/Twitter-Trends)</sub> | <sub>sentiment analysis baed on twitter data. Relevant topics include data cleaning/tokenization/data aggregation using mangodb etc.</sub> | <sub>2017-05-22 17:07:45</sub> | <sub>2017-05-23 08:06:27</sub> | <sub>71.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub>:star:x3</sub> |
| <sub>[finserv-application-blueprint](https://github.com/mapr-demos/finserv-application-blueprint)</sub> | <sub>generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization </sub> | <sub>2016-09-26 19:42:54</sub> | <sub>2021-06-07 17:38:13</sub> | <sub>73.0</sub> | <sub>:heavy_check_mark:</sub> | <sub>:star:x2</sub> |
| <sub>[cointrader](https://github.com/timolson/cointrader)</sub> | <sub>java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders</sub> | <sub>2014-06-01 01:14:12</sub> | <sub>2021-05-19 17:05:49</sub> | <sub>371.0</sub> | <sub>:heavy_check_mark:</sub> | <sub>:star:x2</sub> |
| <sub>[CryptoNets](https://github.com/microsoft/CryptoNets)</sub> | <sub>CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted.</sub> | <sub>2019-06-02 05:48:39</sub> | <sub>2019-09-12 13:03:05</sub> | <sub>160.0</sub> | <sub>:heavy_check_mark:</sub> | <sub>:star:x2</sub> |
| <sub>[finserv-application-blueprint](https://github.com/mapr-demos/finserv-application-blueprint)</sub> | <sub>generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization </sub> | <sub>2016-09-26 19:42:54</sub> | <sub>2021-06-07 17:38:13</sub> | <sub>76.0</sub> | <sub>:heavy_check_mark:</sub> | <sub>:star:x2</sub> |
| <sub>[cointrader](https://github.com/timolson/cointrader)</sub> | <sub>java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders</sub> | <sub>2014-06-01 01:14:12</sub> | <sub>2021-10-05 18:44:36</sub> | <sub>381.0</sub> | <sub>:heavy_check_mark:</sub> | <sub>:star:x2</sub> |
| <sub>[CryptoNets](https://github.com/microsoft/CryptoNets)</sub> | <sub>CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted.</sub> | <sub>2019-06-02 05:48:39</sub> | <sub>2019-09-12 13:03:05</sub> | <sub>179.0</sub> | <sub>:heavy_multiplication_x:</sub> | <sub>:star:x2</sub> |