Naveen, Author at Nomidl

Difference between Data Scientist and Data Engineer

What do they do? Data Engineers Data Engineers design, build, test, integrate, and optimize data collected from multiple sources. They use Big Data tools and technologies to construct free-flowing data pipelines that facilitate real-time analytics applications on complex data. Data Engineers also write complex queries to improve data accessibility. Data Scientist Data Scientists are more…

Difference between Big Data and Data Science

Big Data Hugh volumes of data which cannot be handled using traditional database programming. Characterized by volume, variety, and velocity. Data Science A data-focused on scientific activity. Approaches to process big data. Harnesses the potential of big data for business decisions. Similar to data mining. Concept Big Data Diverse data types generated from multiple data…

Credit Card Fraud Detection using Machine Learning

As we’re moving towards the digital world — cybersecurity is getting a critical part of our life. When we talk about security in digital life also the main challenge is to find the abnormal activity. When we make any transaction while buying any product online — a good amount of people prefer credit cards. The…

K-Means algorithm for Machine Learning

K-Means Clustering is an Unsupervised Learning algorithm, which groups the unlabeled dataset into different clusters. It allows us to cluster the info into different groups and a convenient way to discover the categories of groups in the unlabeled dataset on its own without the need for any training. The k-means clustering algorithm mainly performs two…

Multiple Constructors in Python

Multiple constructors are required when we want to have a different behavior of an object to perform the different actions on the object of a class. The different behavior of an object can be achieved by providing the different parameters based on the type of parameters, number of parameters. We can have a different behavior…

Constructors in Python

A constructor is a special method used to create and initialize an object if a class. On the other hand, a destructor is used to destroy the object. Example: When we execute obj = Sample(), Python gets to know that obj is an class sample and calls the constructor of that class to create an…

OOPs in Python

Object-oriented programming (OOP) is a programming paradigm based on the concept of objects which contains data or attributes and code or methods. Major oops concepts include Class, Object, Inheritance, Polymorphism, Data Abstraction, Encapsulation. Class Class is the user defined data type and it is defined using class keyword. It is a collection of similar type…

Loss Functions and optimizers and its type?

With modelling, there’s a particular goal that the model needs to achieve. It’s just as important to achieve the best possible values of the model parameters as it is to find out what each parameter means in terms of that goal. The loss function (cost function) is minimized, therefore getting unknown values for weight and…

Python functions, Parameters, Arguments, args and kwargs

Python functions A function is a construct that helps us perform some action using a block of code (the body of the function), sometime based on input parameters. These functions can take different forms and can do a lot to allow your functional code base to be effective, To define a function, you use the…