为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。

Machine learning: Practical applications

🏠 A shop-rental-and-selling platform that ranks the shops for users

The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. [2020]

An exhilarating journey of 100 Days, 100 Programs challenge, where I explore various programming languages and frameworks to build a diverse collection of practical applications.

An application to help select a programming course for children. The application is written 100% in the programming language Python3.12.2. The application uses the Random library. The design took into account the readability and cleanliness of the code

Práctica 2: Fundamentos de la Programación

A practical application for drawing aftermaths. Application written in Python 3.12.2 with the random library

📚 A practical approach to machine learning.

A computer application for people who drink energy drinks. The app helps people manage their energy drink drinking in a healthy way. I allow you to add more drinks.

A result calculator developed in 2021 during the COVID-19 pandemic when Higher Secondary (10+2) board exams were canceled. Built based on the official board's published method, it calculates results using Class 11 and 10th board marks. Used by my friends and peers for accurate grade estimation.

Deals with the applications of basic mathematical models in business decision making. It includes model formulation, linear programming, network analysis, decision theory, inventory problems, queuing, regression and demand forecasting, and simulation models.

"Implementations of deep learning concepts from Deep Learning with Python (Second Edition) by François Chollet. Includes hands-on examples, code exercises, and practical applications using TensorFlow and Keras."