15+ Machine/Deep Learning Projects in Ipython Notebooks

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Notebooks covering Intro to CNN, Transfer Learning using VGG16

This comprehensive collection of notebooks serves as a valuable resource for learners pursuing the IBM AI Engineering Professional Certificate course.

This is a repository with various classifier written in jupyter notebook that works on hand written digits images.

An IPython notebook demonstrating the process of Transfer Learning using pre-trained Convolutional Neural Networks with Keras on the popular CIFAR-10 Image Classification dataset.

some of the modesl that I trained when I started deep learning (June '18 - Aug '18)

🤖 Playground for Keras neural networks and ML Python scripts and notebooks

My machine learning notebooks. Feel free to use for your purposes.

A Jupyter Notebook detailing my process to implement a Keras CNN to classify the MNIST dataset.

Dump for all notebook experiments

Predicting closing stock returns and performing portfolio optimization. All in Jupyter Notebooks (Python)

Tensorflow notebooks

Various Machine learning and Deep learning algorithms written in Jupyter notebooks in one repository

ML + AI experiments with python, intended for Jupyter Notebooks (e.g. via Google Colab). Central source of personal language knowledge.

This repository contains an ipython notebook which implements an Artificial Neural Network using keras to do churn prediction .

IBM AI Engineering Professional Certificate - Jupyter Notebooks

All my course projects, exercises and notebooks of Microsoft LEarn Courses.

A notebook implementation which uses VGG19 for Neural style transfer using Deep Learning.

My Kaggle kernels in Jupyter notebook form