##Python Learning

Python directory structure

*(Folder)

*PythonLearning

- config (flask - web based appication the configuration folder(flask framework))
- data (data used for the application)
- scripts (scripts name can be changed based on the usage)
- templates (flask - web based appication html-templates)
- static (flask - web based appication - images,files and soon...)

Python Programming:

1. Basics
2. Data types
3. Data Structures
4. Conditional Flow
5. Looping
6. Exception Handling
7. functions
8. Oops

Pandas:

Highlights

1. Fast and efficient DataFrame object with default and customized indexing.
2. Tools for loading data into in-memory data objects from different file formats.
3. Data alignment and integrated handling of missing data.
4. Reshaping and pivoting of date sets.
5. Label-based slicing, indexing and subsetting of large data sets.
6. Columns from a data structure can be deleted or inserted.
7. Group by data for aggregation and transformations.
8. High performance merging and joining of data.
9. Time Series functionality.
10. Excel kind operations

Ref : http://pandas.pydata.org/pandas-docs/stable/10min.html

pandas dataframe

1. object creation
2. viewing data
3. selection
4. missing data
5. operations
6. merge
7. grouping
8. reshaping
9. timeseries
10. categoricals
11. plotting
12. getting data io

Visualization: matplotlib

1. basic plot
2. plot and scatter plot 3.bar plot
3. create plot
4. create subplot
5. change size figure
6. customized plot
7. save plot png
8. save plot pdf
9. ggplot style

Khan Academy Courses:

1. Probability : https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19
2. Statistics : https://www.youtube.com/watch?v=uhxtUt_-GyM&list=PL1328115D3D8A2566
3. Calculus : https://www.youtube.com/watch?v=EKvHQc3QEow&list=PL19E79A0638C8D449
4. Linear Algebra : https://www.youtube.com/watch?v=xyAuNHPsq-g&list=PLFD0EB975BA0CC1E0
5. Combitornics : https://www.youtube.com/watch?v=Z1zdkcwosD4&list=PLU5aQXLWR3_wDJi9fDQar3GQVfZD4SlbX
6. Machine Learning : https://www.youtube.com/watch?v=rVviNyIR-fI&list=PLD0F06AA0D2E8FFBA&index=52

Important Link for Machine learning Q&A

https://github.com/arafatm/edu_coursera_machine_learning_1_foundations#:~:text=2%20For%20a%20linear%20classifier,because%20an%20error%20has%20occurred

https://www.analyticsvidhya.com/blog/2017/07/30-questions-to-test-a-data-scientist-on-linear-regression/

https://www.analyticsvidhya.com/blog/2017/07/30-questions-test-data-scientist-natural-language-processing-solution-skilltest-nlp/

https://www.analyticsvidhya.com/blog/2017/08/skilltest-deep-learning/

https://www.analyticsvidhya.com/blog/2017/09/30-questions-test-tree-based-models/

https://www.datasciencecentral.com/profiles/blogs/25-questions-to-detect-fake-data-scientists

https://data-flair.training/blogs/popular-data-science-interview-questions/

https://www.analyticsvidhya.com/blog/2017/08/skilltest-deep-learning/

https://www.analyticsvidhya.com/blog/2017/09/30-questions-test-tree-based-models/

https://www.edureka.co/blog/interview-questions/data-science-interview-questions/

https://www.springboard.com/blog/machine-learning-interview-questions/

https://www.digitalvidya.com/blog/machine-learning-interview-questions/

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

https://www.analyticsvidhya.com/blog/2017/01/must-know-questions-deep-learning/

https://www.analyticsvidhya.com/blog/2017/04/40-questions-test-data-scientist-deep-learning/

https://www.analyticsvidhya.com/blog/2017/04/40-questions-test-data-scientist-machine-learning-solution-skillpower-machine-learning-datafest-2017/

https://www.analyticsvidhya.com/blog/2018/05/deep-learning-faq/

https://www.dezyre.com/article/100-data-science-interview-questions-and-answers-general-for-2018/184

http://www.cambridge.org/features/economics/brooks/downloads/mcq/Chapter%205/ch05.htm

https://www.analyticsvidhya.com/blog/2017/04/40-questions-on-time-series-solution-skillpower-time-series-datafest-2017/