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。
python machine-learning algorithm tensorflow sklearn python3 beginner practical-applications sklearn-tensorflow-ml
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- Python
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practical-applications
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Machine learning: Practical applications
python machine-learning deep-learning neural-network linear-regression scikit-learn cross-validation regression model-selection autoencoder mnist-dataset vectorization decision-tree multivariate-linear-regression boston-housing-dataset kfold-cross-validation word-frequency practical-applications shakespeare-dataset log-word-frequency
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- Jupyter Notebook
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- Python
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.
programming-challenge programming-languages software-development coding-challenges code-learning practical-applications coding-projects project-showcase coding-journey code-experiments
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- Python
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]
algorithms coursera dynamic-programming greedy-algorithms coursera-course divide-and-conquer algorithmic-toolbox practical-applications 2020 space-complexity-analysis time-complexity-analysis abhisaphire space-time-tradeoff
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🏠 A shop-rental-and-selling platform that ranks the shops for users
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- Java
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
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- Python
A practical application for drawing aftermaths. Application written in Python 3.12.2 with the random library
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- Python
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.
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- HTML
"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."
python deep-learning tensorflow keras jupyter-notebook deep-learning-book python-book deep-learning-models practical-applications hands-on-machine-learning deep-learning-projects
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- Jupyter Notebook
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.
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📚 A practical approach to machine learning.
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- Jupyter Notebook
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.
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- HTML
Core Java tutorials, assignments, hands-on Java projects, and DSA modules — reflecting my journey of mastering Java programming and problem-solving skills.
collections oops javacore exception-handling algorithms-and-data-structures practical-applications real-life-project
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- Java
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