Machine Learning

There are many Python machine learning resources freely available online. Where to begin? How to proceed? Should I learn Python, R, Java, Go, or C++? Go from zero to Python machine learning hero in 7 steps! I was also struggling with these keys and crises to study machine Learning, But I started learning and get a good result, and I assure you the same. Please have a read and If you find it helpful, the press a Clap, and suggest to me in a comment on how to improve it. Getting started . Two of the most de-motivational words in the English language. The first step is often the hardest to take, and when given too much choice in terms of direction it can often be debilitating. Where to begin? This post aims to take a newcomer from minimal knowledge of machine learning in Python to knowledgeable practitioners in 7 steps, all while using freely available materials and resources along the way. The prime objective of this outline is to help you wade through the numerous fr

Making Spotify Ads-free with an amount of $0 If you are having a problem with ads crashing your Spotify program, consider closing some unneeded programs that are left open on your computer. This may allow your PC to prioritize the Spotify program and give it the resources it needs Three weeks ago I downloaded the app of Spotify for my android phone All was good, up to when the ads come in: the music stops and the ads don’t start until I touch on the Play button. Since this happens every 30 minutes or less, it’s quite tedious to click on the app every time. What can I do?  I resolve the problem today by Python and yes, It is worth working, I got Spotify ad-free with an investment of $0. Spotify Technology S.A. is an international media services provider. It is legally domiciled in Luxembourg and is headquartered in Stockholm , Sweden. Founded in 2006, the company’s primary business is providing an audio streaming platform, the “Spotify” platform, that provides DRM -r

Developing machine learning predictive models from time-series data is an important skill in Data Science. While the time element in the data provides valuable information for your model, it can also lead you down a path that could fool you into something that isn’t real. Follow this example to learn how to spot trouble in time series data before it’s too late. Time series forecasting is an important area of machine learning. It is important because there are so many prediction problems that involve a time component. However, while the time component adds additional information, it also makes time series problems more difficult to handle compared to many other prediction tasks. Time series data, as the name indicates, differ from other types of data in the sense that the temporal aspect is important. On a positive note, this gives us additional information that can be used when building our machine learning model — that not only the input features contain useful information, but