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Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you wonβt face any difficulty understanding these tutorials.
Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.
Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements
The function is a block of code defined with a name. We use functions whenever we need to perform the same task multiple times without writing the same code again. It can take arguments and returns the value.
You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library.
:memo: An awesome Data Science repository to learn and apply for real world problems.
Very compressed personal notes about Microsoft's AZ-900 (Microsoft Azure Fundamentals) certification
Implementing Clustering Algorithms from scratch in MATLAB and Python
Data Analysis Portfolio
"Unlock the ultimate beginner's guide to data science! Our curated repository is packed with ML, DL, NLP, and Python essentials, offering clear pathways and valuable insights for your journey. Dive into data analysis and AI effortlessly with best-in-class tools and tutorials tailored for beginners."
My Solutions to 120 commonly asked data science interview questions.
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
This project aims to provide a clear and actionable understanding of the e-commerce business and its various components, helping identify areas for improvement and growth.
This project involves analyzing the Data Analysis of the IPL dataset of each year by Highest scores, WIn-Loss relation and different types of relationships are shown in this repo.
This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.
Source Code for the book: Machine Learning in Action published by Manning
Config files for my GitHub profile.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Practice your pandas skills!
The "Python Machine Learning" book code repository and info resource
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can
This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.
This project predicts the sales demand for various items in different stores based on historical sales data. The objective is to develop a machine learning model that can provide accurate forecasts for future sales of each store-item combination.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.