Is P2P lending worth it?
Is the #P2P lending really that good #investment as often we are said it to be?
Let’s see for ourselves through simulations
Evaluating apartment market price with Machine Learning
Calculating apartment market price based on historical data with machine learning. I will show you how I check apartments market price with my ML algo. #python #machinelearning #realestate #ML
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Visualizing portfolio historical performance with Python
Hey there! In this article we are going to check out how to examine and visualize the historical performance of a portfolio. This can be any portfolio but since we scraped prices for SEB funds in our previous article (Web scraping investment fund prices with Python) we will use those prices here as well. If …
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This one might be off the point a little bit but I was really surprised how many people have tried and burned with this crazy Casino strategy. Well I hope most of people visiting my blog wouldn’t even attempt to outplay Casino but in case You were wondering how to test your “strategy” for outplaying …
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Web scraping investment fund prices with Python
In this article we will look at a relatively short Python project that would read the names of all SEB investment funds, ISIN codes and their historical prices. The work if we would do it our selves is easy and we could do it manually but I personally got bored at the fourth fund and …
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How we cut our expenses by 30%
Are You struggling to save money for things You would love to have? Stuck living paycheck to paycheck? Are Your bills eating up all the income and You are sick of hearing all those “Get extra income” tips? You got to the right article then. I will share how we managed to save approximately 30% …
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CSV, PANDAS and Python
We will analyze the data for the historical prices of SEB investment funds using powerful Python programming language modules – CSV and PANDAS. The question may arise why should I use SEB Funds for the examples instead of stock price data which are standard source data for these kind of things? The answer is simple …
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