Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.
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Updated
Jul 23, 2024 - Jupyter Notebook
Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.
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.
Notebooks developed in Mathematica for my Ph.D. thesis and other resources
Notebooks explaining various Machine Learning concepts.
Notebooks in Machine Learning. Including exponential, polynomial, logistic and softmax regression. Time series analysis. Neural Networks.
A series of Jupyter notebooks, to know about Machine Learning, its implementation, and identifying its best practices.
A notebook about commonly used machine learning algorithms.
Jupyter notebooks implementing Deep Learning algorithms in Keras and Tensorflow
Deep learning using CNN in tensorflow on Kaggle image dataset containing 87,900 different healthy and unhealthy crop leaves spanning 38 unique classes.
In this repo I working on various Machine Learning Algorithms.
5 courses of Specialization in Deep Learning taught by Prof.Andrew Ng on Coursera
Notebooks of programming assignments of Improving Deep Neural Networks course of deeplearning.ai on coursera in August-2019
Deep learning Projects
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