Looking For Career Advice

[AAune]

Hello Everyone!

I have a BSc in Math/Statistics 3.0GPA graduated 2011.

Have become quite passionate about financial modelling and have been self teaching python, machine learning (completed Andrew Ng's infamous course) and now taking Financial Engineering 1 and 2 from Coursera.

Have also been following Kaggle competitions on predicting housing prices/sales forecasts/stock prediction/risk analysis using regression methods which is all very interesting.

Does anyone have any insights with the difference between CFA, MFE, masters program... my biggest concern is getting accepted to a masters due to the time gap and lack of references.

 

[Daniel Duffy]

Been also following Kaggle competitions on predicting housing prices/sales forecasts/stock prediction/risk analysis using regression methods which is all very interesting.

Any good forecasts for house prices? Don't think Kaggle is needed for that one. TBH, regression you can learn in a few days.

 

[AAune]

Current resource material I've been working through is:

Workflow for value prediction

Explore and run machine learning code with Kaggle Notebooks | Using data from House Prices - Advanced Regression Techniques

www.kaggle.com

xgboost/demo at master · dmlc/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow - dmlc/x...

github.com

https://www.math.kth.se/matstat/seminarier/reports/M-exjobb18/180608o.pdf