The question which is creating a buzz all over the internet – Will Artificial Intelligence prove boon or curse for Humanity?. There is a lot of debate going on the internet where everyone is sharing some facts and figures to support their point. Considering the fact that Artificial Intelligence/Machine Learning is the hottest topic and job […]
Importance of SQL for Data Science and Data Analysis
SQL or Structured Query language is the standard language used to query and manage relational database systems. In its initial days, it was called as “SEQUEL” but later changed to “SQL” due to trademark issues. As there are a lot of database systems are available based on SQL and they all have different extensions, different structure, function […]
Cool Applications of Machine Learning in Real World
If you are following Machine Learning or Artificial Intelligence, you might know that most of the data generated in the last 3-4 years and this makes Machine Learning and Artifical Intelligence the hottest job of the 21st century. Machine Learning is not only improving Business Processes and decision but also used in the background to […]
Performing Pareto Analysis using Tableau and Microsoft Excel
Pareto Analysis also called as 80/20 rule, is a decision-making technique which states that 80 % effects of things happen in the system, arises from 20 % causes. Consider below two examples to understand better: 80 % of your profit came from 20 per cent of Products you sold 80% of issues in your website/business […]
13 Most Used Matplotlib Plots for Data Visualization in Data Science (with Python Codes)
Here in this post, we have shared 13 Matplotlib plots for Data Visualization widely used by Data Scientists or Data Analysts along with Python codes so that you can easily implement them side by side with us. Python’s Matplotlib library plays an important role in visualizing and serve as an important part for an Exploratory Data […]
Reading 15 most common file formats used in Data Science (using Python)
Here in this post, we will see how we can read most common file formats used in Data Science (using Python) with code. When you are working as a Data Scientist or Data Analyst, your most of the time is utilized in reading the dataset from different sources (including data saved in different file formats and […]