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Why Problem Solving is the most important skill in Data Science?

A few years back, when I started my journey in data science, I was fascinated by Kaggle. I used to devote my time there. I was overwhelmed by the knowledge and problems. I wanted to be competitive and kaggle shows their leaderboard. You win and make a name. I used to have casual discussions with …

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A long time!!

Hi Guys!How have you been doing? Sorry for not writing anything in past few years. I had been doing crazy shit work. Ohh no.. that is just an excuse, I am telling myself. The motivation of restarting the blog came because I am seeing a lot of junk content on the web about data science(last …

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Setting up a GPU based Deep Learning Machine

Using GPU for deep learning has seen a tremendous performance. It has been reported that execution time using GPU is 10x -50x times faster than CPU-based deep learning and It is also a lot cheaper than CPU-based system. You can see this below in the picture. I was curious to check deep learning performance on …

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A Data Science Project-Introduction: How can we have better life expectancy!

Hi, future data science buddies! I have been asked many times how can I become data scientist or what should I do to become a data scientist.  Here I have written about some technical skills that are required to be a data scientist. How to make career into Data Science But above article was lacking …

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How to improve performance of Neural Networks

  Neural networks have been the most promising field of research for quite some time. Recently they have picked up more pace. In earlier days of neural networks, it could only implement single hidden layers and still we have seen better results. Deep learning methods are becoming exponentially more important due to their demonstrated success …

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A brief introduction to Outliers and Outlier Removal methods

What is an Outlier?  Simply speaking, Outlier is an observation that appears far away and diverges from an overall   pattern in a sample. Let’s take an example, we do customer profiling and find out that the average annual income of customers is $0.8 million. But, there are two customers having annual income of $4 and $4.2 …

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Boosting Performance of Machine Learning Models

People often get stuck when they are asked to improve the performance of predictive models. What usually they do is try different algorithms and check their results. But often they end up not improving the model. Today I will walk you through what we can do to improve our models. You can build a predictive …

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Difference between Usual Machine Learning and Deep Learning Explained!

As wikipedia defines: “Machine learning is a subfield of computer science[1] that evolved from the study of pattern recognition and computational learning theory in artificial intelligence.[1] Machine learning explores the study and construction of algorithms that can learn from and make predictions on data.[2] Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions,[3]:2 rather than following strictly static program instructions.” i.e. you collect a …

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