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daivi
Daivi Sarkar
in Tutorials7 months ago

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.

Your Ideal Roadmap For a Full Stack Web Developer in 2023
daivi
Daivi Sarkar
in Tutorials7 months ago

Top ML Interview Questions for Data Scientists

Ace your data scientist interview with these top ten Machine Learning Interview Questions and Answers!

Top ML Interview Questions for Data Scientists
daivi
Daivi Sarkar
in Tutorials7 months ago

Top 10 SQL Interview Questions for Data Scientists

Ace your data scientist interview with these top ten SQL Interview Questions and Answers!

Top 10 SQL Interview Questions for Data Scientists
daivi
Daivi Sarkar
in Tutorials7 months ago

Top 10 Python Interview Questions For Data Scientists

Ace your data scientist interview with these top ten Python interview questions and answers:

Top 10 Python Interview Questions For Data Scientists
cmeher123
Chinmaya Meher
in Projects7 months ago

Prediction of Employee Attrition using Machine Learning

Employee attrition can have a significant impact on an organization's bottom line. The cost of losing employees and recruiting new ones can be substantial. Machine Learning algorithms can help organizations predict which employees are most likely to leave and take proactive steps to retain them. In this article, we will explore the use of ML for predicting employee attrition, and the steps involved in implementing a predictive model.

Prediction of Employee Attrition using Machine Learning
daivi
Daivi Sarkar
in Tutorials8 months ago

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.

Relational Vs. Non-relational Databases: Key Differences
daivi
Daivi Sarkar
in Tutorials8 months ago

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!

5 Data Science Project Ideas in Supply Chain Management
daivi
Daivi Sarkar
in Tutorials8 months ago

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.

Top 5 Entry-level Job Roles in Data Science
daivi
Daivi Sarkar
in Tutorials8 months ago

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.

Power BI vs. Tableau - Which is the Best?
daivi
Daivi Sarkar
in Tutorials8 months ago

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.

5 Data Science Project Ideas in Telecom Industry
daivi
Daivi Sarkar
in Tutorials8 months ago

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!

5 Job-Winning Resume Tips for Data Scientists in 2023
daivi
Daivi Sarkar
in Tutorials8 months ago

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.

Data Analyst vs. Data Scientist
daivi
Daivi Sarkar
in Tutorials9 months ago

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.

Hypothesis Testing - Everything You Must Know
daivi
Daivi Sarkar
in Tutorials9 months ago

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.

Statistical Distributions Data Scientists Must Know
daivi
Daivi Sarkar
in Tutorials9 months ago

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.

Top 5 Regression Algorithms for Data Scientists
daivi
Daivi Sarkar
in Tutorials10 months ago

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.

Top 5 Classification Algorithms for Data Scientists
daivi
Daivi Sarkar
in Tutorials10 months ago

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!

Top 5 Deep Learning Algorithms for Data Scientists in 2023
daivi
Daivi Sarkar
in Tutorials10 months ago

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.

Top 5 Data Science Project Ideas for Beginners in 2023
himani007
Himani
in Tutorials10 months ago

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.

Creating a Left-Half Pyramid with Python
himani007
Himani
in Tutorials10 months ago

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.

An Introductory Guide to Folium
daivi
Daivi Sarkar
in Tutorials10 months ago

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.

5 Innovative Machine Learning Projects in Retail For 2023
daivi
Daivi Sarkar
in Tutorials10 months ago

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.

5 Unique Machine Learning Projects in Healthcare For 2023
daivi
Daivi Sarkar
in Tutorialsa year ago

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.

5 Exciting Machine Learning Projects in Finance
himani007
Himani
in Tutorialsa year ago

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 map(), apply(), & applymap() methods
tiwari11-rst
Ravi Shekhar Tiwari
in Tutorialsa year ago

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.

Parameter Logging in DL/ML Models
nsrinath97
Srinath Nanduri
in Tutorialsa year ago

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

Introduction to NLP with Python - Bag of Words
himani007
Himani
in Tutorialsa year ago

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 vs KWARGS in Python
himani007
Himani
in Tutorialsa year ago

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.

How to Load Kaggle Datasets into Jupyter Notebooks
himani007
Himani
in Tutorialsa year ago

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 Indexing and Slicing
himani007
Himani
in Tutorialsa year ago

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() in Window Functions
himani007
Himani
in Tutorialsa year ago

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.

Execution of a Window Function in SQL
himani007
Himani
in Tutorialsa year ago

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.

SUM() in Window Functions
himani007
Himani
in Tutorialsa year ago

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.

5 Common Shell Commands
himani007
Himani
in Tutorialsa year ago

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.

Types of HTTP Status Codes
anushree-k
Anushree
in Projectsa year ago

Forecasting Walmart Weekly Sales using Machine Learning

Walmart is an American Retail, Wholesale and E-commerce business. Sam Walton founded Walmart in 1962 in Rogers, Arkansas. His goal was to help people "Save Money and Live Better" which continues to be Walmart's guiding mission with "Every Day Low Prices(EDLC)" and great service.

Forecasting Walmart Weekly Sales using Machine Learning
vigilantstars6
Vishnu Arun
in Tutorialsa year ago

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.

Beginners Python Walkthrough (Part-1)
kara-mounir
Mounir Kara Zaitri
in Projectsa year ago

Aviation incidents in Canada: 80 years of data

The aviation industry is a complex collaboration of multiple fields, from manufacturers to commercial airlines. Data collection and analysis is a key factor in the safety management systems. In this notebook, we will analyze aviation occurrence data provided by Transport Canada.

Aviation incidents in Canada: 80 years of data
munimadhav
Madhav Muni
in Projectsa year ago

Clickstream Sales Analysis - Online shopping

In this notebook, we will analyze and visualize dataset containing information on clickstream from the online store sales of pregnant woman clothing to deduce some intriguing insights.

Clickstream Sales Analysis - Online shopping
anushree-k
Anushree
in Projectsa year ago

Exploratory Data Analysis of Shrinkme

Exploratory analysis and predictive analysis techniques help businesses to structure and recalibrate their pricing, marketing, inventory strategies and more in real-time.
B2C e-commerce businesses generate voluminous amounts of data. In this notebook we will perform the exploratory data analysis for a multi-category store using Python, Pandas, Matplotlib and Seaborn.

Exploratory Data Analysis of Shrinkme
adityahebbarnhnm
Aditya Hebbar
in Projectsa year ago

Exploratory Data Analysis Case Study - Global Cargo Data

EDA can help us deliver great business results, by improving our existing knowledge and can also help in giving out new insights that we might not be aware of.
In this project, we are trying to analyse Global Cargo Data.

Exploratory Data Analysis Case Study - Global Cargo Data
himani007
Himani
in Tutorialsa year ago

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.

Understanding Errors and Exceptions in Python
himani007
Himani
in Tutorialsa year ago

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.

Working with Random Numbers in Numpy
vinodvidhole
Vinod Dhole
in Projectsa year ago

Web Scraping Yahoo! Finance Using Python

Web scraping is the process of extracting and parsing data from websites in an automated fashion using a computer program. It's a useful technique for creating datasets for research and learning.

Web Scraping Yahoo! Finance Using Python