Another post starts with you beautiful people! In my previous posts we have learnt the Python basics and advanced, statistics techniques for the Data Science track. I suggest you to please read previous post just for 10-15 min. before sleeping daily and then there is no any obstacle to stop you to become a great Data Scientist. In this post we will start our Machine Learning track with the Linear Regression topic. I Have highlighted the both so please click on the link to know the formal definition of those. Machine learning- More specifically the field of predictive modeling is primarily concerned with minimizing the error of a model or making the most accurate predictions possible, at the expense of explainability. In applied machine learning we will borrow, reuse and steal algorithms from many different fields, including statistics and use them towards these ends. Linear Regression was developed in the field of statistics and is studied as a model ...
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