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Showing posts from July, 2021

I'll Give You The Truth About DATA SCIENCE

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Did you know that data science is here to create new jobs instead of reducing the number of jobs? By the end of this blog you will understand and be clear about some of the truths of data science that are twisted in real world. Here are 5 Truths about data science: 1. CREATING JOBS People are thinking that Data Science is bringing automation. By introducing automation most of the current jobs will be lost. This is true. But it will be create more jobs at the backend of the automation. In the end the probability of human error will decrease exponentially. 2. SATURATION  People have started saying that too many people have started moving towards data science and it's bubble will burst in no time. Fact is that inspite of big movement there is still a large gap between demand and supply. From last only colleges and institutions have started separate courses on Data Science, Machine Learning and Artificial Intelligence. Looking at the pace of development in technology in all domains, yo...

5 BIGGEST MISTAKES DONE BY BEGINNER DATA SCIENTISTS

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Did you know that d eleting columns in a dataset is one of the BIGGEST MISTAKES made by the beginner data scientists.  Are YOU one of those? By the end of this blog you are going to know 5 BIGGEST MISTAKES made by beginner data scientists. To become a data scientist, you must keep in my to avoid these mistakes at ALL COST 1. DELETING COLUMNS -  If you find any null value in the column, and then go for dropping the column. That's one of the BIGGEST MISTAKE. You should consider if that null value can be replaced with some value that does not change the bias of that column. Generally these values are central tendencies. That are mean, median and mode. 2. FORGET ENCODING - If you think that your model is fitting successfully without encoding, so you should skip it. That your that's a mistake. Encoding helps the model to establish greater spectrum for the column and having the column represented as numerical helps the model to have a comparable outcome. 3. STATIC PARAMETER -...