In this tutorial, we will focus on what is big data, its characteristics, types, benefits, barriers, and job roles.

In this world of information, people are generating and consuming more-more data from each aspect of life. Human activities such as shopping, traveling, utility bills, banking operations, citizen, and government services are on electronic platforms. Organizations are moving from paper to digital platforms for most of the activities. These all activities generating tons of data every day. Organizations and governments utilize this data and generate some values using analytics for smooth operations and to gain competitive advantages. …


Top-25 frequently asked data science interview questions and answers on Deep Learning for fresher and experienced Data Scientist, Data analyst, statistician, and machine learning engineer job role.

Data Science is an interdisciplinary field. It uses statistics, machine learning, databases, visualization, and programming. So in this 8th article, we are focusing on Deep Learning interview questions. Let’s see the interview questions and answers in detail.

Originally published on https://machinelearninggeek.com/data-science-interview-questions-part-8deep-learning/

1. What is Deep Learning?

Deep Learning is a subdomain of Machine Learning. In deep learning, a large number of layers in the architecture. These successive layers learn more complex patterns in the data. …


Top-25 frequently asked data science interview questions and answers on Statistics for fresher and experienced Data Scientist, Data analyst, statistician, and machine learning engineer job role.

Let’s see the interview questions.

1. What is the difference between inferential statistics and descriptive statistics?

Descriptive statistics describe the input data and provide initial findings for data. It will give the mean, median, standard deviation, etc. For example, the manager of a supermarket wants to see the waiting time for billing.

Inferential statistics allow us to make inferences from a smaller sample of data from the population. It is used when we have limited time, cost, and other constraints. For example, the LED bulb…


Top-25 frequently asked data science interview questions and answers on NLP and Text Mining for fresher and experienced Data Scientist, Data analyst, statistician, and machine learning engineer job role.

Data Science is an interdisciplinary field. It uses statistics, machine learning, databases, visualization, and programming. So in this sixth article, we are focusing on NLP and Text Mining questions.

Let’s see the interview questions.

1. What do you mean by natural language and computer language?

Natural language is a human language such as Hindi, English, and German. Designing computers that can understand natural languages is a challenging problem.

Computer language is a set of instructions that used to produce the desired output…


Central tendency stands for summary values in the data. It represents the central value for the whole dataset. It provides a single value instead of multiple values that are helpful to understand the system. For example, the average monthly sale is a good indicator of sales for any product.

Let's discuss the following central tendency measures.

  • Mean: Mean or arithmetic average is the ratio of the sum of observations to the total number of observations. for example, the mean of 6, 3, and 9 is (6+3+9)/3 = 18/3 = 6
  • Median: Median is the middle value of the entire data…


In this Python tutorial, explore movie data of popular streaming platforms and build a recommendation system.

Due to the new culture of Binge-watching TV Shows and Movies, users are consuming content at a fast pace with available services like Netflix, Prime Video, Hulu, and Disney+. Some of these new platforms, such as Hulu and YouTube TV, also offer live streaming of events like Sports, live concerts/tours, and news channels. Live streaming is still not adopted by some of the streaming platforms, such as Netflix.

Streaming platforms provide more flexibility to users to watch their favorite TV shows and movies, at…


Check out my first book writing experience(Python Data Analysis, Third Edition) and get a preorder discount coupon.

How my work experience helped me?

Writing a technical book needs crystal clear knowledge of concepts of all the topics of that subject. Fortunately, In my case, my experience in research, academia, and industry helped me a lot. My research experience taught me how to write research papers and my teaching experience helped me how to explain things simply and understandably. My industry experience helped me with how to solve industry problems with data science knowledge. …


Top-15 frequently asked data science interview questions and answers on Data preprocessing for fresher and experienced Data Scientist, Data analyst, statistician, and machine learning engineer job role.

Data Science is an interdisciplinary field. It uses statistics, machine learning, databases, visualization, and programming. So in this fifth article, we are focusing on Data Preprocessing questions.

Originally published on https://machinelearninggeek.com/data-science-interview-questions-part-4-unsupervised-learning/


In this tutorial, you’ll learn how to build a chatbot using chatterbot in Python.

Are you tired of waiting in long queues for your call to be connected to the customer service executive? Does reading FAQ’s make you feel lethargic? Then you are on the right page. Can you remember the last time you communicated to a customer service agent via chat for the wrong item being delivered to you? There is a high probability that you were being communicated to by a bot rather than a customer service representative. So what exactly are bots? How do we build one…


Top-20 frequently asked data science interview questions and answers on Unsupervised Learning for fresher and experienced Data Scientist, Data analyst, statistician, and machine learning engineer job role.

Originally published on https://machinelearninggeek.com/data-science-interview-questions-part-4-unsupervised-learning/

Data Science is an interdisciplinary field. It uses statistics, machine learning, databases, visualization, and programming. So in this fourth article, we are focusing on unsupervised learning questions.

Let’s see the interview questions.

1. What is clustering?

Clustering is unsupervised learning because it does not have a target variable or class label. Clustering divides s given data observations into several groups (clusters) or a bunch of observations based on certain similarities. …

Avinash Navlani

Sr Data Scientist| Analytics Consulting | Data Science Communicator | Helping Clients to Improve Products & Services with Data

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