Jovian Blog
Your Ideal Roadmap For a Full Stack Web Developer in 2023
A full-stack web developer is responsible for creating the complete architecture of a web application, from the user interface to the back end. They possess many skills and knowledge, including front-end development, back-end development, databases, and servers. If you are considering becoming a full-stack web developer, here is a roadmap to help guide you through the necessary steps.
A full-stack web developer is responsible for creating the complete architecture of a web application, from the user interface to the back end. They possess many skills and knowledge, including front-end development, back-end development, databases, and servers.
If you are considering becoming a full-stack web developer, here is a roadmap to help guide you through the necessary steps.

Top ML Interview Questions for Data Scientists
Ace your data scientist interview with these top ten Machine Learning Interview Questions and Answers!
Ace your data scientist interview with these top ten Machine Learning Interview Questions and Answers!

Top 10 SQL Interview Questions for Data Scientists
Ace your data scientist interview with these top ten SQL Interview Questions and Answers!
Ace your data scientist interview with these top ten SQL Interview Questions and Answers!

Top 10 Python Interview Questions For Data Scientists
Ace your data scientist interview with these top ten Python interview questions and answers:
Ace your data scientist interview with these top ten Python interview questions and answers:

Relational Vs. Non-relational Databases: Key Differences
**Data is the new oil.** Businesses are competing against each other worldwide only to leverage the abundant source of raw data to its fullest potential. However, managing and utilizing such high volumes of data is a challenging task. This is where databases come into the picture. This blog will help you understand the key differences between the two major types of databases: relational and non-relational.
Data is the new oil.
Businesses are competing against each other worldwide only to leverage the abundant source of raw data to its fullest potential. However, managing and utilizing such high volumes of data is a challenging task. This is where databases come into the picture. This blog will help you understand the key differences between the two major types of databases: relational and non-relational.

5 Data Science Project Ideas in Supply Chain Management
The supply chain can operate more efficiently and provide better services by leveraging machine learning and visualization tools to make data-driven and analytical decisions. Here are five innovative SCM project ideas for all data scientists!
The supply chain can operate more efficiently and provide better services by leveraging machine learning and visualization tools to make data-driven and analytical decisions. Here are five innovative SCM project ideas for all data scientists!

Top 5 Entry-level Job Roles in Data Science
There are currently 194,000+ Data Science jobs in the United States which clearly indicates the massive demand for data science professionals. Here are the top five entry-level roles you can pursue in the data science industry.
There are currently 194,000+ Data Science jobs in the United States which clearly indicates the massive demand for data science professionals. Here are the top five entry-level roles you can pursue in the data science industry.

Power BI vs. Tableau - Which is the Best?
Business intelligence (BI) tools are now a fundamental part of every organization. The two most well-known BI platforms on the market are Tableau and Power BI. Data from Gartner indicates that Power BI and Tableau are the top two business intelligence tools. Let's find out what makes these tools different from one another.
Business intelligence (BI) tools are now a fundamental part of every organization. The two most well-known BI platforms on the market are Tableau and Power BI. Data from Gartner indicates that Power BI and Tableau are the top two business intelligence tools. Let's find out what makes these tools different from one another.

5 Data Science Project Ideas in Telecom Industry
Have you wondered how Data Science can be helpful in the telecommunication sector? Unlike common beliefs, it actually involves a lot of data-managed operations and extraction. Here are some ideas for data science projects in this industry.
Have you wondered how Data Science can be helpful in the telecommunication sector? Unlike common beliefs, it actually involves a lot of data-managed operations and extraction. Here are some ideas for data science projects in this industry.

5 Job-Winning Resume Tips for Data Scientists in 2023
Your career simply won't take off without an outstanding resume, regardless of how many technical skills you possess in data science. Here are five valuable tips for building a job-winning resume for data scientists!
Your career simply won't take off without an outstanding resume, regardless of how many technical skills you possess in data science. Here are five valuable tips for building a job-winning resume for data scientists!

Data Analyst vs. Data Scientist
Although distinguishing between "data scientist" and "data analyst" can be challenging, the two are sometimes used interchangeably. This blog presents a detailed comparison between data analyst and data scientist to help you decide which role is better for you.
Although distinguishing between "data scientist" and "data analyst" can be challenging, the two are sometimes used interchangeably. This blog presents a detailed comparison between data analyst and data scientist to help you decide which role is better for you.

Hypothesis Testing - Everything You Must Know
In today's data-driven world, data is often used to make informed decisions. When it comes to making business decisions, hypotheses are a crucial aspect of that process. In this blog post, we will walk through the various types of hypothesis testing that help data scientists come up with the right judgments and make better decisions.
In today's data-driven world, data is often used to make informed decisions. When it comes to making business decisions, hypotheses are a crucial aspect of that process.
In this blog post, we will walk through the various types of hypothesis testing that help data scientists come up with the right judgments and make better decisions.

Statistical Distributions Data Scientists Must Know
Different probability and statistical distributions serve as the fundamental building blocks for numerous applications, including weather forecasting, market analysis, etc. This blog will walk you through some important types of statistical distributions that every data scientist must know about.
Different probability and statistical distributions serve as the fundamental building blocks for numerous applications, including weather forecasting, market analysis, etc. This blog will walk you through some important types of statistical distributions that every data scientist must know about.

Top 5 Regression Algorithms for Data Scientists
Regression algorithms identify correlations between dependent and independent variables. These algorithms help forecast continuous variables like housing values, market movements, etc. This blog explores the top five regression algorithms that are highly popular among data scientists.
Regression algorithms identify correlations between dependent and independent variables.
These algorithms help forecast continuous variables like housing values, market movements, etc. This blog explores the top five regression algorithms that are highly popular among data scientists.

Top 5 Classification Algorithms for Data Scientists
Machine learning relies heavily on classification since it teaches computer systems how to classify data according to specific criteria, such as predefined attributes. Let us look at the top five classification algorithms that are highly popular among data scientists.
Machine learning relies heavily on classification since it teaches computer systems how to classify data according to specific criteria, such as predefined attributes. Let us look at the top five classification algorithms that are highly popular among data scientists.

Top 5 Deep Learning Algorithms for Data Scientists in 2023
From robotics and self-driving cars to chatbots and virtual assistants, deep learning is everywhere. But are you aware of what techniques go behind the working of these self-driven cars or virtual assistants? Well, here come some deep-learning algorithms you should know!
From robotics and self-driving cars to chatbots and virtual assistants, deep learning is everywhere. But are you aware of what techniques go behind the working of these self-driven cars or virtual assistants? Well, here come some deep-learning algorithms you should know!

Top 5 Data Science Project Ideas for Beginners in 2023
Beginners often struggle with finding the right project ideas to help enhance their skills and knowledge in data science. This blog will help you find the most unique and exciting data science project ideas for beginners.
Beginners often struggle with finding the right project ideas to help enhance their skills and knowledge in data science. This blog will help you find the most unique and exciting data science project ideas for beginners.

Creating a Left-Half Pyramid with Python
A Pattern code or Pyramid Pattern is made using the combination of stars or numbers and represents a specific pattern. In this article we are going learn to print a Left Half Pyramid also called an Increasing Star Pattern. The left half pyramid is one of the two basal pattern codes to be able to create complex pattern codes.
A Pattern code or Pyramid Pattern is made using the combination of stars or numbers and represents a specific pattern. In this article we are going learn to print a Left Half Pyramid also called an Increasing Star Pattern. The left half pyramid is one of the two basal pattern codes to be able to create complex pattern codes.

An Introductory Guide to Folium
Folium is a powerful Python library that allows us to manipulate geospatial data and visualize it. In this blog post, you will have a good look at what is Folium and how to use it to plot geographic coordinates.
Folium is a powerful Python library that allows us to manipulate geospatial data and visualize it. In this blog post, you will have a good look at what is Folium and how to use it to plot geographic coordinates.

5 Innovative Machine Learning Projects in Retail For 2023
By analyzing user data and offering relevant insights, machine learning helps businesses provide their customers with a more customized experience. This blog explores five exciting projects around the application of ML in retail.
By analyzing user data and offering relevant insights, machine learning helps businesses provide their customers with a more customized experience. This blog explores five exciting projects around the application of ML in retail.

5 Unique Machine Learning Projects in Healthcare For 2023
The demand for more qualified data scientists has been fueled by the growing popularity of big data and its potential impact on the healthcare sector. This blog is here to help you explore the five topmost machine learning projects in healthcare.
The demand for more qualified data scientists has been fueled by the growing popularity of big data and its potential impact on the healthcare sector.
This blog is here to help you explore the five topmost machine learning projects in healthcare.

5 Exciting Machine Learning Projects in Finance
The finance sector, including banking institutions, trading companies, and fintech companies, is progressively implementing machine algorithms to automate tedious, time-consuming tasks. In this blog post, you'll be looking at 5 ML projects in Finance, along with their source code.
The finance sector, including banking institutions, trading companies, and fintech companies, is progressively implementing machine algorithms to automate tedious, time-consuming tasks.
In this blog post, you'll be looking at 5 ML projects in Finance, along with their source code.

Pandas map(), apply(), & applymap() methods
Pandas offers a variety of tools & methods to optimize the data loading, pre-processing, and analyzing process. Datasets with millions of rows can be processed using Pandas smoothly. `map`, `apply`, & `applymap` are such methods that allow element-wise modification of a Dataframe or Series.
Pandas offers a variety of tools & methods to optimize the data loading, pre-processing, and analyzing process. Datasets with millions of rows can be processed using Pandas smoothly. map
, apply
, & applymap
are such methods that allow element-wise modification of a Dataframe or Series.

Parameter Logging in DL/ML Models
Analyzing the model metric is one of the most crucial tasks while training any Machine Learning or Deep Learning model. It allows us to diagnose the model statistics if the model prediction is not up to the mark. In this article, I will discuss how we can log the model metric from model architecture, hardware metric and epoch data in Wandb.ai.
Analyzing the model metric is one of the most crucial tasks while training any Machine Learning or Deep Learning model. It allows us to diagnose the model statistics if the model prediction is not up to the mark. In this article, I will discuss how we can log the model metric from model architecture, hardware metric and epoch data in Wandb.ai.

Introduction to NLP with Python - Bag of Words
Natural Language Processing is a field of study focusing on computer understanding of human or “natural” language. In this article, we will explore the most basic NLP technique - The bag of Words model
Natural Language Processing is a field of study focusing on computer understanding of human or “natural” language. In this article, we will explore the most basic NLP technique - The bag of Words model

ARGS vs KWARGS in Python
*args and **kwargs are special syntax's used while defining a function to pass a variable number of arguments. We will look at how to use them in the code examples below. It is not complusory to use args and kwargs as parameter name, you can simply add the asterisk's but it is common practise to them so we will be sticking with that today.
*args and **kwargs are special syntax's used while defining a function to pass a variable number of arguments. We will look at how to use them in the code examples below.
It is not complusory to use args and kwargs as parameter name, you can simply add the asterisk's but it is common practise to them so we will be sticking with that today.

How to Load Kaggle Datasets into Jupyter Notebooks
In this notebook, we will learn how to download a Kaggle dataset using the open datasets library with an API token. Kaggle is an online community platform for data scientists and machine learning enthusiasts. It allows users to find and publish data sets, explore and build models in a web-based data-science environment.
In this notebook, we will learn how to download a Kaggle dataset using the open datasets library with an API token.
Kaggle is an online community platform for data scientists and machine learning enthusiasts. It allows users to find and publish data sets, explore and build models in a web-based data-science environment.

Python Indexing and Slicing
Python provides four basic inbuilt data structures that are: List, Tuple, Dictionary, and Set. To iterate through them, we use skills called Slicing and Indexing. Before getting into these, we need to understand the concept of an Index.
Python provides four basic inbuilt data structures that are: List, Tuple, Dictionary, and Set. To iterate through them, we use skills called Slicing and Indexing. Before getting into these, we need to understand the concept of an Index.

AVG() in Window Functions
AVG() as an aggregate function is used to return a single value as the average of a stated numeric column. When used as a window function, it will still return the average of a specific column but instead of returning a single value, it will return the running average at each row/window.
AVG() as an aggregate function is used to return a single value as the average of a stated numeric column. When used as a window function, it will still return the average of a specific column but instead of returning a single value, it will return the running average at each row/window.

Execution of a Window Function in SQL
Window Functions perform computation over a set of rows called windows and return an aggregated value for each row. In this notebook, we will look at how a window function is executed within a SQL query.
Window Functions perform computation over a set of rows called windows and return an aggregated value for each row. In this notebook, we will look at how a window function is executed within a SQL query.

SUM() in Window Functions
Window Functions perform computation over a set of rows called windows and return an aggregated value for each row. Aggregate Functions are used to return a summarised value of multiple rows that make some mathematical sense. You can use aggregate functions as Window Functions with the help of the OVER() clause.
Window Functions perform computation over a set of rows called windows and return an aggregated value for each row. Aggregate Functions are used to return a summarised value of multiple rows that make some mathematical sense. You can use aggregate functions as Window Functions with the help of the OVER() clause.

5 Common Shell Commands
The shell is the outermost layer around an operating system that uses utilities called commands to interact and access your computer's OS services. It allows users to enter a command instead of clicking buttons and returns a result within the terminal itself. There are several commands that you can use on the terminal. Below we will be looking at some basic and most frequent commands that are used to navigate through the filesystem.
The shell is the outermost layer around an operating system that uses utilities called commands to interact and access your computer's OS services. It allows users to enter a command instead of clicking buttons and returns a result within the terminal itself.
There are several commands that you can use on the terminal. Below we will be looking at some basic and most frequent commands that are used to navigate through the filesystem.

Types of HTTP Status Codes
An http status code represents whether a request from a client to the server was successful or not. These are attached to the web pages sent from the server to the user.
An http status code represents whether a request from a client to the server was successful or not. These are attached to the web pages sent from the server to the user.

Beginners Python Walkthrough (Part-1)
Python is a powerful programming language yet extremely simple to learn. It is built around the philosophy of minimal code to get the same work done. This makes it a forerunner among other programming languages for extensive usage in the domains of data science and machine learning.
Python is a powerful programming language yet extremely simple to learn. It is built around the philosophy of minimal code to get the same work done. This makes it a forerunner among other programming languages for extensive usage in the domains of data science and machine learning.

Understanding Errors and Exceptions in Python
One of the most common situations while writing code is getting stuck on an unidentifiable error. In such a case, python's ecosystem helps us to trace back our function calls with the help of traceback reports, to find out the exception raised. Exceptions raised simply define the type of error our program has run into.
One of the most common situations while writing code is getting stuck on an unidentifiable error. In such a case, python's ecosystem helps us to trace back our function calls with the help of traceback reports, to find out the exception raised. Exceptions raised simply define the type of error our program has run into.
Working with Random Numbers in Numpy
Random is a module in the Numpy library for providing random numerical data in any required data structure. It contains simple functions/methods to generate random numbers, permutations and probability distributions. In this tutorial, we will understand how to use these functions and create random data as per our needs.
Random is a module in the Numpy library for providing random numerical data in any required data structure. It contains simple functions/methods to generate random numbers, permutations and probability distributions. In this tutorial, we will understand how to use these functions and create random data as per our needs.
