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Search: Machine-Learning-from-Scratch
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Showing 10 results from 143
thomasnield/oreilly_machine_learning_from_scratch
GitHub PythonResources for the O'Reilly Online Training "Machine Learning from Scratch"
External source
GitHub
molyswu/hand_detection
GitHub Pythonusing Neural Networks (SSD) on Tensorflow. This repo documents steps and scripts used to train a hand detector using Tensorflow (Object Detection API). As with any DNN based task, the most expensive (and riskiest) part of the process has to do with finding or creating the right (annotated) datas... Read more
External source
GitHub
Sfedfcv/redesigned-pancake
GitHubSkip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights Merge branch 'main' into 1862-Add-Travis-CI-migration-table 1862-Add-Travis-CI-migration-table (#1869, Iixixi/ZachryTylerWood#102, THEBOLCK79/docs#1, sbnbhk/docs#1) @martin389 martin389... Read more
External source
GitHub
huangjia2019/let-us-machine-learning
GitHub Jupyter NotebookMachine Learning from scratch with practical examples. 极客时间:Machine Learning from Scratch(零基础实战机器学习)- 这套课程是我在传统机器学习时代,使用各种机器学习方法完成数据分析项目的尝试。这些经典机器学习方法不会过时,课程设计也算得上是认真而精彩。有些包的选择(如生存周期预测)已不大实用。
External source
GitHub
milaan9/Machine_Learning_Algorithms_from_Scratch
GitHub Jupyter Notebook MIT LicenseThis repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.
External source
GitHub
Madhu009/Deep-math-machine-learning.ai
GitHub Jupyter NotebookA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
External source
GitHub
vanshika230/Machine-Learning
GitHub Jupyter NotebookThis repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML and many projects have also been included.
External source
GitHub
curiousily/Machine-Learning-from-Scratch
GitHub Jupyter Notebook MIT LicenseSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
External source
GitHub
chasinginfinity/ml-from-scratch
GitHub Jupyter NotebookMachine Learning algorithms implemented in Python from scratch
External source
GitHub
Yimeng-Zhang/Machine-Learning-From-Scratch
GitHub系统梳理机器学习的各个知识点。
External source
GitHub
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Showing first 143 accessible GitHub results.