https://github.com/strcoder4007/machine-learning-deep-learning-practice

Implementation of Linear/Logistic Reg, K-NN, SVM, Clustering, K-Means, ConvNet, ResNet, MobileNet, RNN, LSTM etc. using Pandas, SciKitLearn, NumPy & TensorFlow 2
https://github.com/strcoder4007/machine-learning-deep-learning-practice

convolutional-neural-networks matplotlib scikit-learn tensorflow2

Last synced: about 2 months ago
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Implementation of Linear/Logistic Reg, K-NN, SVM, Clustering, K-Means, ConvNet, ResNet, MobileNet, RNN, LSTM etc. using Pandas, SciKitLearn, NumPy & TensorFlow 2

• Host: GitHub
• URL: https://github.com/strcoder4007/machine-learning-deep-learning-practice
• Owner: strcoder4007
• Created: 2020-01-18T10:41:35.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-04-10T17:51:48.000Z (9 months ago)
• Last Synced: 2024-04-10T21:30:39.974Z (9 months ago)
• Topics: convolutional-neural-networks, matplotlib, scikit-learn, tensorflow2
• Language: Python
• Homepage: http://shubhamswe.xyz
• Size: 84.5 MB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine-Leanring-Deep-Dive

Implementation of Linear Reg., K-NN, SVM, Kernal, RNN, ConvNet & 3D ConvNet using SciKitLearn, NumPy, Matpoltlib & TensorFlow