data-science-2019-06

Python Reference

https://developers.google.com/machine-learning/crash-course/prereqs-and-prework#python-programming

https://www.datacamp.com/courses/intro-to-python-for-data-science

https://docs.python.org/3/tutorial/controlflow.html#lambda-expressions

Python Libraries Tutorials

1-Python Tutorial - https://docs.scipy.org/doc/numpy/user/quickstart.html (Links to an external site.)Links to an external site.

2-Numpy Tutorial - http://cs231n.github.io/python-numpy-tutorial/ (Links to an external site.)Links to an external site.

3-10 minutes to Pandas - https://pandas.pydata.org/pandas-docs/stable/10min.html#min (Links to an external site.)Links to an external site.

Python Tutorial

https://youtu.be/K_fym6C-VNY

https://youtu.be/v6W6Oc76H1o

https://youtu.be/hAx8RgTXwxs

https://youtu.be/K7-oodBQM2o

https://youtu.be/D9yUVAmjLuc

https://youtu.be/ssiRa4pJS24

https://youtu.be/snLzicc9q90

https://youtu.be/snLzicc9q90

https://youtu.be/UfUSSIBQUOE

AI and ML Difference

POC

------

1) Banking---- Market data / Cost

a) Anomaly --- Rules based anomaly (X) -- Team-2

b) figuring out the trading limit (X) -- Team-1

c) FaceNet

d) Document processing (Optional)

e) Prediction of the trading volume (X)-- Team-1

f) Buy/Sell --- stock Recomendation (Tech)

g) Rules based prediction

2)Telecom

a) churn Analysis

b) Product Recomendation

3) Fintech

a) (Prediction) probability of the customer to decide

4) Check X-ray data Anomaly

a) Detecting type anomaly

5) NLTK

STATISTIC BASIC

https://www.statisticshowto.datasciencecentral.com/statistics-basics/

KNN QUESTION: https://www.analyticsvidhya.com/blog/2017/09/30-questions-test-k-nearest-neighbors-algorithm/