Md Azaz's repositories
Accept_Payments_with_Python
Unlock the power of cashless transactions with our Python tutorial on creating a QR Code payment system!
Data_Understanding_and_Data_Cleaning
Data understanding and data cleaning are important steps in the data analytics process. Data cleaning is the process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset.
DSA_in-_Python
Welcome to the "DSA_in_Python" repository! This comprehensive collection is your go-to resource for mastering Data Structures and Algorithms using the Python programming language.
EDA
Exploratory Data Analysis (EDA) refers to the method of studying and exploring record sets to apprehend their predominant traits, discover patterns, locate outliers, and identify relationships between variables. EDA is normally carried out as a preliminary step before undertaking extra formal statistical analyses or modeling.
Face_Recognition_Attendance_System
A Face Recognition Attendance System is a technological solution that utilizes facial recognition algorithms to identify and record the attendance of individuals. It typically involves capturing images or video of people's faces, analyzing key facial features, and comparing them against a database of known faces to verify their identity.
House_Price_Prediction_With_Machine_Learning
🏡 House Price Prediction with Machine Learning Project 🤖💰 Seeking to revolutionize the real estate industry with cutting-edge technology? Explore my latest project, where I leveraged machine learning algorithms to predict house prices accurately.
JavaScript_Notes
Notes - JavaScript Zero to Hero in 5 Days
Landing-page-design-by-using-Gsap
This Landing page design and Animated by using Gsap library and process of creating an enticing site page for your target animation and website looks mainly.
Machine_learning
Machine learning is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Recently, artificial neural networks have been able to surpass many previous approaches in performance.
Machine_Learning_Algorithms
Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.
Medicine-Recommendation-System
A Medicine Recommendation System in machine learning (ML) is a software application designed to assist healthcare professionals and patients in selecting the most appropriate medication based on various factors such as medical history, symptoms, demographics, and drug interactions
Natural_Language_Processing_NLP
NLP It is the technology that is used by machines to understand, analyse, manipulate, and interpret human's languages. It helps developers to organize knowledge for performing tasks such as translation, automatic summarization, Named Entity Recognition (NER), speech recognition, relationship extraction, and topic segmentation.
Ouick_React_Docs_Mini_App
🌐 Elevate your productivity with our new Docs Mini App, designed to streamline your document creation process! 🚀 🔗 Seamlessly integrated with your favorite platform, this Mini App provides a user-friendly interface for creating, editing, and collaborating on documents. Whether you're drafting proposals, taking meeting notes, or working on team
Pandas
Pandas is a Python library used for working with data sets. It has functions for analyzing, cleaning, exploring, and manipulating data.
Python_library_NumPy
NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices...
Unsupervised_Machine_Learning
learned supervised machine learning in which models are trained using labeled data under the supervision of training data. But there may be many cases in which we do not have labeled data and need to find the hidden patterns from the given dataset. So, to solve such types of cases in machine learning, we need unsupervised learning techniques.
Visualisation
Decoding Good Data Visualization: A Visual Guide Data visualization is not just about presenting information; it's about telling a compelling story with data. Excited to share this visual guide on the key elements that make a good data visualization!