Predict 3 year Forward Asset Prices & Direction and Portfolio Return & Risk using Historic Macro data & Central Bank Forecasts This algorithm was published earlier. Sharing it again as it is…
Building a #datascience #machinelearning #algorithm is relatively simple. 8 lines of #python code. It's the other process steps that require most of the work - problem definition, #datawrangling, model selection, #optimization, deployment,…
Please check out the introduction video playlist on youtube to all lectures. It will give you an idea about what is being taught in the course and help you decide whether you…
Announcing the launch of our online course on Udemy and other online platforms. https://youtu.be/ZacHdseW00A Udemy course link is - https://www.udemy.com/course/datascience-e2e-beginnerscourse-machinelearning-dataanalytics/learn/lecture/25000096#overview Data Science is a multi-disciplinary profession which requires a combination of 3…
Legal Disclaimer – This research is not an investment advisory or a sales pitch. Objective Predict monthly asset price (main stock indices, commodities, bonds) and direction (Higher/Lower) using macroeconomic data for US,…
Legal Disclaimer – This research is not an investment advisory or a sales pitch. Objective Identify the relationship between asset prices (main stock indices, commodities, bonds) and macroeconomic data for US, UK…
Objective Observe and improve the results of running regression algorithms (Random Forest Regression, Support Vector Regression, Artificial Neural Networks) on daily macroeconomic data to predict daily currency prices for GBPUSD, EURUSD and…
Pandas is a powerful python library for data manipulation. It requires limited query level optimisation as its functions can perform rapid data manipulation and analysis on the entire data set. Below is…
