Data Science
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Confusion Matrix in Python Sklearn | A Complete Beginners Guide | REAL-TIME Examples
A confusion matrix is a table that is often used to describe the performance of a classification model (or "classifier") on a set of test data for which the true values are known. Introduction to Confusion Matrix Confusion Matrix of True Positive Confusion Matrix of False Negative Confusion Matrix of False Positive Confusion Matrix of...
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Polynomial Regression | All you need to know [ Job & Future ]
Polynomial Regression is a form of Linear regression known as a special case of Multiple linear regression which estimates the relationship as an nth degree polynomial. Polynomial Regression is sensitive to outliers so the presence of one or two outliers can also badly affect the performance. Introduction to polynomial Regression Polynomial...
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What is a Web Crawler? : Expert’s Top Picks | Everything You Need to Know
A web crawler, or spider, is a type of bot that is typically operated by search engines like Google and Bing. Their purpose is to index the content of websites all across the Internet so that those websites can appear in search engine results. Introduction to Web Crawler A Web Crawler overview Features of Web Crawler Web Crawler...
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Pandas vs Numpy | What to learn and Why? : All you need to know
The Pandas module mainly works with the tabular data, whereas the NumPy module works with the numerical data. The Pandas provides some sets of powerful tools like DataFrame and Series that mainly used for analyzing the data, whereas in NumPy module offers a powerful object called Array. Introduction to Pandas Key Features of Pandas Prologue to...
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What Is Data Wrangling? : Step-By-Step Process | Required Skills [ OverView ]
Data wrangling is the process of cleaning and unifying messy and complex data sets for easy access and analysis. Introduction of Data wrangling Importance of Data Wrangling Benefits of Data Wrangling Data Wrangling Tools Data Wrangling Examples Data Wrangling vs. ETL Data Wrangling Skills Required Steps of Data Wrangling...
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What Does a Data Scientist Do? : Step-By-Step Process
A data scientist's role combines computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations. Introduction to Data Scientist Data Scientist Responsibilities Characteristics of a Successful Data Scientist Professional Data...
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Data Analyst Salary in India [For Freshers and Experience]
Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. What is Data Analysis? Data Analyst remuneration in the India Who is also a Data Analyst? Job Roles in Data Analysis knowledge Analyst Skills required Affecting the Salary of a Data...
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Elasticsearch vs Solr | Difference You Should Know
Elasticsearch though open source is still managed by Elastic's employees. Solr supports text search while Elasticsearch is mainly used for analytical querying, filtering, and grouping. Solr Elasticsearch Age associated Maturity Solr vs Elasticsearch: Community and Open supply Solr vs Elasticsearch: categorisation and Search Solr vs...
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Tools of R Programming | A Complete Guide with Best Practices
R is a programming language and free software environment for statistical computing and graphics. Introduction of R programming Why R Programming Language? Features of R Programming Language Statistical Features of R Programming Features of R ...
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Skills Required to Become a Data Scientist | A Complete Guide with Best Practices
A data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data. The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, statistician and computer professional. Introduction of Data Scientist Tools for Data Scientist Features of...
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