An overview of Machine Learning Algorithms: Handbook — A step-by-step guide to all Machine Learning algorithms with implementation using Python! — “Machine Learning Algorithms: Handbook” is a book based on a step-by-step guide to all Machine Learning algorithms with implementation using Python. In this article, I’ll give you a complete overview of the book so that you can understand who it is for and whether you should buy it or not.

A list of Machine Learning projects you can work on as a beginner in Machine Learning! — A Machine Learning Engineer uses data and algorithms to build intelligent systems. If you are new to machine learning, you need to work on beginner-level machine learning projects to understand how to use machine learning algorithms on datasets to solve problems. If you are looking for some Machine Learning projects…

60+ Amazing Data Analysis Projects with Python: solved and explained. — From logging into your Facebook account to buying a new iPhone, it’s all backed up somewhere. We have so much data today that it’s used everywhere today, for example, to help a business understand a client’s needs or to help a dating app find the perfect fit for you. So…

190 Python Projects with Source Code: solved and explained for free — Python is one of the best programming languages. Due to its readability and beginner-friendly nature, it has been accepted by industries around the world. So to master Python for any field you have to work on projects. …

An introduction to Customer Segmentation for Data Science professionals! — Customer Segmentation is used to divide a company’s customer base into distinct groups based on common characteristics. It helps companies better understand their customers. If you want to understand Customer Segmentation and how Data Science professionals use this technique, this article is for you. …

Everything about Exploratory Data Analysis for Data Science! — Exploratory data analysis (EDA) is a Data Science concept where we analyze a dataset to discover patterns, trends, and relationships within the data. If you want to understand Exploratory Data Analysis, this article is for you. …

An Introduction to Time Series Analysis for Data Science Professionals! — Time Series Analysis is a statistical technique used to analyze data points collected over time. It helps companies identify patterns and trends in the data, which can be used to make informed decisions about the future. So, if you want to know what Time Series Analysis is and how a…

Data Science Interview Questions based on Realtime Business Problems. — There are many types of questions you are asked for a job interview to understand your behaviour, technical skills, domain expertise, and how you will use your skills in solving real-time business problems. If you are looking for some of the most important Data Science interview questions based on real-time…

There is a huge competition in the Data Science field, making it hard to mention unique projects on your resume. An interviewer goes through hundreds of projects every day, so it’s essential to mention unique projects on your resume so that your resume can grab more attention. So, if you…