Blogs
Hi Everyone, In this post, We are sharing with you 5 platforms to use Jupyter Notebook Online Without any Cost. So Let's Start Read More »
There are Three Level in This Challenging Program. Beginner means someone who has just gone through an introductory Python course. He can solve some problems with 1 or 2 Python classes or functions. Normally, the answers could directly be found in the textbooks. Intermediate means someone who has just learned Python, but already has a relatively strong programming background from before. He should be able to solve problems that may involve 3 or 3 Python classes or functions. Read More »
Hi Everyone, In this Post, We learn How we can Download Youtube Video in Any Format Using Python Pytube Library. We need to install the Python Pytube Library for Downloading Any Youtube Video. Read More »
Hi Everyone, We are Come Back with a New Post, In this post, We learn How to Extract RGB Color From an Image. In Simple Language Convert an Image Into Red, Green and Blue Color. Read More »
Hi Everyone, We are Back with a New Project. In this Project, We Use Iris Dataset for Exploratory Data Analysis. Read More »
Hi Everyone, In this Post, We Will Learn How to Convert a Simple RBG Image to Gray Scale Image It's Very easy to convert any image into grayscale image using Python CV2 Library. So Now Let's Start How We Can do this, Follow the Post Until End. Read More »
Hi Everyone, In this Post, we will learn how to create a GUI Application using Python Tkinter Library. Using this GUI Application you can store following data into CSV file- name, email, age, mobile number, gender, profile of a user and subscribe newsletter options. Read More »
For this project, we will be exploring publicly available data from Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor, Read More »
If you are a machine learning beginner and looking to finally get started using Python, In this Post you see some top Datasets for beginners level. Read More »
Python has various "types" of numbers (numeric literals). We'll mainly focus on integers and floating point numbers. Read More »
Python lets you create variables simply by assigning a value to the variable, without the need to declare the variable upfront. The value assigned to a variable determines the variable type. Different types may support some operations that others don't. Read More »
Strings are used in Python to record text information, such as names. Strings in Python are actually a sequence, which basically means Python keeps track of every element in the string as a sequence. For example, Python understands the string "hello' to be a sequence of letters in a specific order. This means we will be able to use indexing to grab particular letters (like the first letter, or the last letter). Read More »
A data scientist is a professional known as the sexiest job of the 21st century. Also, research conducted by McKinsey Global Institute back in 2013 projected that there will be approximately 425,000 and 475,000 unfilled data analytics’ positions in North America by 2018. The take-home message here is that there will be a constant stream of analytic talent that will be required in all industries, where companies collect and use data for their competitive advantages. Read More »
Search Engine Optimization (SEO) is one of the most important components of digital marketing. If you want to make your online business, you need website traffic. And to get organic traffic, just want to see how well you rank on Google, you should use one of the best SEO tools. According to Search Engine Land, the SEO industry is worth $65 Billion. The importance of online and search engine traffic is now well understood by even the non-techie modern entrepreneur. Read More »
Google started a rollout a major update to its algorithm on May 4th which is called as a “core†update. With this update bringing about a large change to their algorithm, it will have a major impact on a lot of sites. Read More »
Prepare for Interview
- JavaScript Interview Questions for 1–2 Years Experience
- JavaScript Interview Questions for 0–1 Year Experience
- JavaScript Interview Questions For Fresher
- SQL Interview Questions for 5+ Years Experience
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
- Dynamic Programming and Recursion in Python
- Trees and Graphs in Python
Random Blogs
- Government Datasets from 50 Countries for Machine Learning Training
- Avoiding the Beginner’s Trap: Key Python Fundamentals You Shouldn't Skip
- AI in Cybersecurity: The Future of Digital Protection
- OLTP vs. OLAP Databases: Advanced Insights and Query Optimization Techniques
- Data Analytics: The Power of Data-Driven Decision Making
- The Ultimate Guide to Artificial Intelligence (AI) for Beginners
- Understanding SQL vs MySQL vs PostgreSQL vs MS SQL vs Oracle and Other Popular Databases
- The Beginner’s Guide to Normalization and Denormalization in Databases
- Datasets for Natural Language Processing
- Grow your business with Facebook Marketing
Datasets for Machine Learning
- Amazon Product Reviews Dataset
- Ozone Level Detection Dataset
- Bank Transaction Fraud Detection
- YouTube Trending Video Dataset (updated daily)
- Covid-19 Case Surveillance Public Use Dataset
- US Election 2020
- Forest Fires Dataset
- Mobile Robots Dataset
- Safety Helmet Detection
- All Space Missions from 1957
- OSIC Pulmonary Fibrosis Progression Dataset
- Wine Quality Dataset
- Google Audio Dataset
- Iris flower dataset
- Artificial Characters Dataset
- Bitcoin Heist Ransomware Address Dataset