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cfkuocfkuo's Projects

ahp icon ahp

层次化分析,python实现

aima-exercises icon aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

byo_dog_breed_sizer icon byo_dog_breed_sizer

An end-to-end machine learning project to build a tool that chooses dog breeds based on their size and build

car-price-prediction-highly-comprehensive-linear-regression-project- icon car-price-prediction-highly-comprehensive-linear-regression-project-

A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.

covid-19 icon covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19-sindy icon covid-19-sindy

Use SINDY algorithm to discover a dynamical system from coronavirus data

deep-learning-book icon deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-books icon deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。

deep-learning-for-hackers icon deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-learning-in-production icon deep-learning-in-production

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

deep-learning-wizard icon deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

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