Machine-Learning

Learning Various ML Algorithms and implementing them in Python

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
.ipynb_checkpoints		.ipynb_checkpoints
0000000000000900		0000000000000900
MNIST_data		MNIST_data
0000000000000900.zip		0000000000000900.zip
Boston - GD.ipynb		Boston - GD.ipynb
Boston - inbuilt linear regression.ipynb		Boston - inbuilt linear regression.ipynb
Boston Dataset Multivariable.ipynb		Boston Dataset Multivariable.ipynb
CNN - MNIST - Keras.ipynb		CNN - MNIST - Keras.ipynb
CNN - Tensorflow.ipynb		CNN - Tensorflow.ipynb
Decision Tree SkLearn.ipynb		Decision Tree SkLearn.ipynb
Generic Gradient Descent.ipynb		Generic Gradient Descent.ipynb
Gradient Descent.ipynb		Gradient Descent.ipynb
Intro To ML.ipynb		Intro To ML.ipynb
Intro To Python.ipynb		Intro To Python.ipynb
KMeans.ipynb		KMeans.ipynb
KNN.ipynb		KNN.ipynb
Keras.ipynb		Keras.ipynb
Linear Regression.ipynb		Linear Regression.ipynb
Logistic Regression - GD.ipynb		Logistic Regression - GD.ipynb
Logistic Regression - inbuilt.ipynb		Logistic Regression - inbuilt.ipynb
NLP - movie reviews.ipynb		NLP - movie reviews.ipynb
Naive Bayes.ipynb		Naive Bayes.ipynb
Neural Networks.ipynb		Neural Networks.ipynb
Numpy and Pandass.ipynb		Numpy and Pandass.ipynb
PCA - LFW.ipynb		PCA - LFW.ipynb
PCA - images.ipynb		PCA - images.ipynb
PCA.ipynb		PCA.ipynb
Power plant - GD-Copy1.ipynb		Power plant - GD-Copy1.ipynb
Power plant - GD.ipynb		Power plant - GD.ipynb
Power plant - inbuilt LR.ipynb		Power plant - inbuilt LR.ipynb
README.md		README.md
RNN.ipynb		RNN.ipynb
SVM.ipynb		SVM.ipynb
Scaling.ipynb		Scaling.ipynb
Tensorflow.ipynb		Tensorflow.ipynb
Text Classification.ipynb		Text Classification.ipynb
Twitter Sentiment Analysis2.ipynb		Twitter Sentiment Analysis2.ipynb
Twitter sentiment analysis.ipynb		Twitter sentiment analysis.ipynb
Untitled.ipynb		Untitled.ipynb
Untitled2.ipynb		Untitled2.ipynb
iris.pdf		iris.pdf
rough.ipynb		rough.ipynb

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