Deep learning Projects
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Updated
Jun 4, 2019 - Jupyter Notebook
Deep learning Projects
Notebooks in Machine Learning. Including exponential, polynomial, logistic and softmax regression. Time series analysis. Neural Networks.
In this repo I working on various Machine Learning Algorithms.
Notebooks explaining various Machine Learning concepts.
This repository contains a Jupyter notebook that implements Linear Regression using Gradient Descent from scratch. The notebook also includes a comparison of the results with the scikit-learn implementations of Linear, Lasso, and Ridge Regression by plotting graphs.
A series of Jupyter notebooks, to know about Machine Learning, its implementation, and identifying its best practices.
Jupyter notebooks implementing Deep Learning algorithms in Keras and Tensorflow
Notebooks developed in Mathematica for my Ph.D. thesis and other resources
Notebooks of programming assignments of Improving Deep Neural Networks course of deeplearning.ai on coursera in August-2019
5 courses of Specialization in Deep Learning taught by Prof.Andrew Ng on Coursera
A notebook about commonly used machine learning algorithms.
Deep learning using CNN in tensorflow on Kaggle image dataset containing 87,900 different healthy and unhealthy crop leaves spanning 38 unique classes.
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