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followers: 6.0 following: 1.0 repos: 20.0 gists: 0.0

Name: PKP

Type: User

Bio: Lecturer of Chemistry and Biochemistry; Ph.D. in Biochemistry

Twitter: EnzymeNPC

Location: Greensboro, North Carolina

PKP's Projects

cancer_diagnosis_dataset

This is a tutorial for beginners. In this repository you will find the jupyter notebook I have used in the tutorial, where I have trained a neural network to classify the cancer as malignant or benign.

cell_count_deepchem_keras

This repository contains the jupyter notebook used in the tutorial: https://youtu.be/EDBLxUMohjM

deepchem_solubility_prediction

This is the jupyter notebook file for the tutorial where I have trained a neural network to predict the solubility of a molecule using the Deepchem package.

deepchem_toxicitypredictionmodel

This is an introductory deep learning model which uses the Deepchem package. Lots of credit has to be given to the authors(Ramsundar B., Eastman P., Walters P., Pande V.) of the book "Deep Learning for the Life Sciences". This book has been a gold mine in terms of my exploration and journey in DeepLearning in the field of biochemistry.

deeplearning_breastcancer_beginner

You can use this repository as a guide to training your first neural network using the Breast Cancer dataset.

deeplearning_irisdataset_beginnner

This repository contains a simple sequential model which I have used for the classification problem for the Iris_dataset. CSV file is also inculded. This repository should be used as a guide/tutorial to train an introductory deep learning project.

deeplearning_winequalityprediction_beginner

This is going to be tutorial/guide on how to create a basic neural network using tensorflow and keras to predict the wine quality. This guide is meant for some one who is just starting to learn about deep learning.

disease_dataset

In this repository, I have the datasets and the jupyter notebook I have used in the tutorial on how to train a neural network using the sequential model from Keras to classify a disease based on its symptoms. Link to youtube tutorial: https://youtu.be/xjeeDc4UffY

iris_dataset

This repository has the python notebook and the csv file I have used to train a simple neural network for the Iris_dataset classification problem. Link for the youtube tutorial: https://youtu.be/KM0N7pIYCJo

lstm_twitter_sentiment

This repository contains the csv file for twitter sentiment analysis and the python notebook with all the codes required for training of the model.

mnist_dataset

This repository contains the python notebook where I have trained a convolutional neural network on my Youtube/Rumble tutorial video.

mushroom-dataset

This repository contains the jupyter notebook and the csv file I have used in the tutorial.

nntrainning_parkinsonsdata_beginner

This repository is meant to be a guide/tutorial to train a basic neural network using Keras package. The dataset was created by Max Little of the University of Oxford, in collaboration with the National Centre for Voice and Speech, Denver, Colorado, who recorded the speech signals. The original study published the feature extraction methods for general voice disorders.

numpy-tutorical-

This is jupyter notebook I have used in the video tutorial for the NumPy.

numpy_panda_basics

This repository will contain a basic guide book for numpy and pandas packages. Numpy and pandas are the two essential part of the deep learning projects. If you are coming from a non coding background, this note book will help you get rolling in mastering some of the key aspects of your neural network trainning projects.

pandas_tutorial

This repository has the python and csv files used in the Youtube/Rumble tutorial for Pandas.

pdbbind_dataset

This repository contains the python notebook I have used in the YouTube tutorial(link below). In this tutorial I have trained a neural network to predict the binding affinity of protein-ligand complex from its crystal structure. link: https://youtu.be/5lOJVlLewRs

rdkit_basics

This Jupyter notebook is meant to serve as an introduction to rdkit. This will help you to work on few basic projects related to chemical structures and data. Understanding chemical data in computer language is one of the critical aspects of the deep learning in chemical and biological science. I will be adding more smaller notebooks that are essential for any deep learning projects.

toxicity_prediction_deepchem

This repository contains the python note book for DeepChem tutorial: Train a neural network usingTox21 dataset.

wine-quality-dataset

This repository contains the python notebook and the csv file I have used to train a model to predict the wine quality using Sequential model from Keras and Random Forest Classifier from Sklearn.

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