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100daysofcode

100 Days of code on Python For Data Science from Python Variables to Model Deployment

93_python_data_analytics_projects

This repository contains all the data analytics projects that I've worked on in python.

a-pharmacokinetic-model-for-the-metabolism-of-ethanol-and-acetaldehyde-in-homo-sapiens

Pharamcokinetic multi-compartment model for the ethanol metabolism in homo sapiens.

ai-for-healthcare-nanodegree

Learn to build, evaluate, and integrate predictive models that have the power to transform patient outcomes. Begin by classifying and segmenting 2D and 3D medical images to augment diagnosis and then move on to modeling patient outcomes with electronic health records to optimize clinical trial testing decisions. Finally, build an algorithm that uses data collected from wearable devices to estimate the wearer’s pulse rate in the presence of motion.

ai-for-medical-treatment

Assignment for the AI for Medicine Specialization course.(1:Estimating Treatment Effect Using ML/ 2:Natural Language Entity Extraction/ 3:ML Interpretation)

ai-for-medicine

deeplearning.ai's specialization course on AI for Medicine

ai_and_health

Literature & Resource Collection for AI/ML in Healthcare and Medicine.

algorithms-for-dna-sequencing

Coursera MOOC Algorithms for DNA Sequencing by Ben Langmead, PhD, Jacob Pritt

artificial-intelligence-projects

Collection of Artificial Intelligence projects.

associate-cloud-engineer

Resources on preparing for Google Cloud Associate Cloud Engineer certification

avandalton.github.io

awesome-gcp-certifications

Google Cloud Platform Certification resources.

balnmp

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides, BCNB Dataset

brain-tumor-detection

brca_cart_model

breast-cancer-classification

Breast Cancer Classification using CNN and transfer learning

breast-cancer-detection-web-app

SVM (Support Vector Machines) is used to build and train a model using human cell records, and classify cells to predict whether the samples are benign or malignant and display output using Flask Application On Heroku

breast-cancer-gene-expression

This project aims to predict people who will survive breast cancer using machine learning models with the help of clinical data and gene expression profiles of the patients.

breasthistopathology

Classification project aiming at predicting whether a breast tissue patch (scanned at x40) is cancerous.

cancer-classification-by-gene-expression-using-svm-and-naivebayes

clinical-data-science-specialization-coursera

Assignments and other open-source material for the Clinical Data Science specialization

codingformedicine

A series of educational exercises, applying programming to medicine

comppheno

Practical session in computational phenotyping

coursera-capstone-project

crc_initiation

datasciencetools

Useful Data Science and Machine Learning Tools,Libraries and Packages

detection-of-breast-cancer-using-neural-networks

This project is made in Matlab Platform and it detects whether a person has cancer or not by taking into account his/her mammogram.

dhaka

Python module applying deep learning to improve clustering and other analysis of single-cell genomic data (gene expression and copy number variation).

diabetes-detection-using-deep-learning

A simple neural network using Keras and Python to solve a binary classification problem to detect an onset of diabetes.

diabetes-prediction-system

Predict Diabetes and its possibility of occurrence from the pathological lab reports on your own.