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

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https://www.amazon.com/gp/mpc/A2YIXWQG8DNPYU

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. …


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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? What source of code does it require? …


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/

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https://machinelearninggeek.com/

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. …


Top-20 frequently asked data science interview questions and answers on c classification 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-3-classification/

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https://machinelearninggeek.com/

Data Science is an interdisciplinary field. It uses statistics, machine learning, databases, visualization, and programming. So in this third article, we are focusing on basic data science questions related to classification techniques.

Let’s see the interview questions.

1. What are precision and recall?

Precision is the percentage of the correct positive predictions from total predicted positives. In other words, we can say, the percentage of retrieved items is correct. It is a measure of exactness. …


Top frequently asked data science interview questions(Regression Analysis) and answers for fresher and experienced Data Scientist job role.

Originally published on https://machinelearninggeek.com/data-science-interview-questions-part-2-regression-analysis/

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https://machinelearninggeek.com/

Data Science is an interdisciplinary field. It uses statistics, machine learning, databases, visualization, and programming. So in this second article, we are focusing on basic data science questions related to Regression Analysis.


Analyze employee churn, Why employees are leaving the company, and How to predict, who will leave the company?

In the past, most of the focus on the ‘rates’ such as attrition rate and retention rates. HR Managers compute the previous rates try to predict future rates using data warehousing tools. These rates present the aggregate impact of churn but this is the half picture. Another approach can be the focus on individual records in addition to aggregate.

There are lots of case studies on customer churn are available. In customer churn, you can predict who and when a customer will stop buying. Employee churn is similar to customer churn. It mainly focuses on the employee rather than the customer. Here, you can predict who, and when an employee will terminate the service. Employee churn is expensive, and incremental improvements will give big results. …


Top frequently asked data science interview questions and answers for fresher and experienced Data Scientist job role.

Data Science is an interdisciplinary field. It uses statistics, machine learning, databases, visualization, and programming. So in this first article, we are focusing on basic data science questions related to domain definitions. Let’s see frequently asked interview questions for Data Scientist and Data Analyst Role.

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Originally published on https://machinelearninggeek.com/

1. What is machine learning?

Machine learning is the science of getting computers to act without being explicitly programmed. The primary aim is to allow the computers to learn automatically without human intervention or assistance and adjust actions accordingly.

“Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed.” …


Learn how to summarize text using extractive techniques.

A summary is a small piece of text that covers key points and conveys the exact meaning of the original document. Text summarization is a method for concluding a document into a few sentences. It can be performed in two ways:

  1. Abstractive Text Summarization
  2. Extractive Text Summarization

The abstractive method produces a summary with new and innovative words, phrases, and sentences. The extractive method will take the same words, phrases, and sentences from the original summary. Extractive methods can be considered as important sentence selection in the given text. …


Train your Customized NER model using spaCy

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In the previous article, we have seen the spaCy pre-trained NER model for detecting entities in text. In this tutorial, our focus is on generating a custom model based on our new dataset.

The entity is an object and named entity is a “real-world object” that’s assigned a name such as a person, a country, a product, or a book title in the text that is used for advanced text processing. Entity recognition identifies some important elements such as places, people, organizations, dates, and money in the given text. Recognizing entity from text helpful for analysts to extract the useful information for decision making. …

About

Avinash Navlani

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

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