Name		Name	Last commit message	Last commit date
Latest commit History 60 Commits
GANs		GANs
data		data
image data/train		image data/train
model		model
research paper		research paper
titanic data		titanic data
01 - Data Exploration.ipynb		01 - Data Exploration.ipynb
02 - Regression.ipynb		02 - Regression.ipynb
03 - Classification.ipynb		03 - Classification.ipynb
04 - Clustering.ipynb		04 - Clustering.ipynb
04 Back propagation Algorithm.ipynb		04 Back propagation Algorithm.ipynb
04 Deep Learning - Shallow and Deep Networks.ipynb		04 Deep Learning - Shallow and Deep Networks.ipynb
04 Deep Learning Intro.ipynb		04 Deep Learning Intro.ipynb
05 - Safari CNN Challenge.ipynb		05 - Safari CNN Challenge.ipynb
05 - Deep Neural Networks (PyTorch).ipynb		05 - Deep Neural Networks (PyTorch).ipynb
05a - Deep Neural Networks (TensorFlow).ipynb		05a - Deep Neural Networks (TensorFlow).ipynb
05b - Convolutional Neural Networks (PyTorch).ipynb		05b - Convolutional Neural Networks (PyTorch).ipynb
05b - Convolutional Neural Networks (Tensorflow).ipynb		05b - Convolutional Neural Networks (Tensorflow).ipynb
05c - Transfer Learning (PyTorch).ipynb		05c - Transfer Learning (PyTorch).ipynb
05c - Transfer Learning (Tensorflow).ipynb		05c - Transfer Learning (Tensorflow).ipynb
06 - Deep Neural Networks (TensorFlow).ipynb		06 - Deep Neural Networks (TensorFlow).ipynb
07 DeepLearning_ConvolutionNeuralNetworks_CATSDOGS.ipynb		07 DeepLearning_ConvolutionNeuralNetworks_CATSDOGS.ipynb
2_ChatGPT using Python _without key.ipynb		2_ChatGPT using Python _without key.ipynb
3 Generative AI- Prompt RNN.ipynb		3 Generative AI- Prompt RNN.ipynb
3_without keyExtract keywords from text with ChatGPT.ipynb		3_without keyExtract keywords from text with ChatGPT.ipynb
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
Clustering_ML.ipynb		Clustering_ML.ipynb
LICENSE		LICENSE
Machine Learning (1).ipynb		Machine Learning (1).ipynb
Machine Learning Day 1 and 2 Complete Regression.ipynb		Machine Learning Day 1 and 2 Complete Regression.ipynb
Machine Learning Decision Tree and RF.ipynb		Machine Learning Decision Tree and RF.ipynb
Machine Learning Practice Problems for Participants.docx		Machine Learning Practice Problems for Participants.docx
Machine Learning Started.ipynb		Machine Learning Started.ipynb
Numpy and Pandas (Basics).ipynb		Numpy and Pandas (Basics).ipynb
One_Way_Python_ANOVA.ipynb		One_Way_Python_ANOVA.ipynb
README.md		README.md
RNN Fundamentals.ipynb		RNN Fundamentals.ipynb
RNN using Tensorflow.ipynb		RNN using Tensorflow.ipynb
SECURITY.md		SECURITY.md
SVM and Random Forest Regression.ipynb		SVM and Random Forest Regression.ipynb
Untitled.ipynb		Untitled.ipynb
cat.1.jpg		cat.1.jpg
dog.1.jpg		dog.1.jpg
gitignore		gitignore
grades.csv		grades.csv
local-setup.md		local-setup.md
models		models
models\		models\
research papers		research papers
shapes.zip		shapes.zip
two-way-anova-with-python.ipynb		two-way-anova-with-python.ipynb

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Machine Learning Basics

This repository contains the exercise files for the Create machine learning models learning path on Microsoft Learn.

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