DATA SCIENCE WORLD Why is statistics so important in data science? By Prakhar Katiyar Statistics deals with methodologies to gather, review, analyze and draw conclusions from data. With specific statistics tools in hand, we can derive many key observations and make predictions from the data. In Real world, we deal with many cases where we …
DATA SCIENCE WORLD Outlier Detection and Treatment By Prakhar Katiyar Data manipulation is not an easy task, especially when you have outliers to deal with. It is important to clean the data sample in the modeling process to ensure that the observations best represent the problem. The presence of outliers in a dataset can result …
DATA SCIENCE WORLD Assumptions in Machine Learning models By Prakhar Katiyar In the world of Data Science, we often get busy with learning the models and implementing them as soon as possible to fulfil our requirements. But we forget that each model that we use is based on some assumptions, without which the model is …
DATA SCIENCE WORLD Data Science Interviews with questions at a glance By Prakhar Katiyar We have talked a lot about data science and related fields and it’s time now to throw some light on how to crack a job in data science domain. What steps to follow to cross the line? How many interview rounds …
Data Science Interviews with questions at a glance Read More »
DATA SCIENCE WORLD Demystifying The Buzz in Data Science By Prakhar Katiyar Each month it seems there is a new technology introduced that can transform the world in unimaginable ways. Each technology arrives with its own set of industry buzzwords that make it difficult to understand how it would benefit industries and organizations. Data Science …
MACHINE LEARNING ALGORITHMS Regularization An asset to overfitting models By Prakhar Katiyar One of the major aspects of training your machine learning model is avoiding overfitting. In machine learning, regularization is a method to solve over-fitting problem by adding a penalty term with the cost function. When we use regression models to train some data, …
MACHINE LEARNING ALGORITHMS Missed your data? Let’s retrieve it By Prakhar Katiyar We often see a lot of missing values in the real-world data these days. The cause of data missing may be insufficient information, failure to record data or data corruption. Thus, handling missing values is the most important and the primary step of …
DATA SCIENCE WORLD Modin A Feather To Pandas By Prakhar Katiyar What? Pandas? Are you Kidding me? Who doesn’t know that? Wait-wait-wait….. Modin? What the heck is that? Let’s check it out! What is Modin? Why does it matter? Modin is a python library that can be used to replace pandas while dealing with large …
MACHINE LEARNING ALGORITHMS 10 Interesting Machine Learning Projects for ML Enthusiasts By Prakhar Katiyar Artificial Intelligence (AI) today has avalanche of projects and products in the market with machine learning and deep learning being the most important asset. To be able to convert your ideas into practical implementation, you must have a hands-on experience with …
10 Interesting Machine Learning Projects for ML Enthusiasts Read More »
MACHINE LEARNING ALGORITHMS How to approach a Machine Learning Project By Prakhar Katiyar Do you have a project idea and don’t know where to start? Or maybe you have dataset but nothing strikes you on how to build a machine learning model? This article is for you. I’ll further talk about conceptual framework that you …