barada01 Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

1804_python_healthcare

pdf, py, and jupyter notebook files for https://pythonhealthcare.org/

2015

Public material for CS109

2015lab1

2019-datathon

Directory contains scripts for preprocessing data and creating predictive statistical models.

2020-cs109a

acm-chil-website

A possible framework for the ACM-CHIL 2020 conference website

algorithms

Collection of algorithms and data structures implemented in Python and C++

alzheimers_disease_progression

Code for analysis of ADNI data

applied-machine-learning-intensive

Applied Machine Learning Intensive

appliedml-project

awesome-aws

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

better-python-59-ways

Code Sample of Book "Effective Python: 59 Specific Ways to Write Better Pyton" by Brett Slatkin

bmi_prob_stats

Introduction to Probability and Statistics - BMI

clairvoyance

Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"

clinical_data_analysis

Assessing data, cleaning data

code_snippets

compnet

dash-by-plotly

Interactive data analytics

data-analysis

Data Science Using Python

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-science--cheat-sheet

Cheat Sheets

dataanalysis

The lecture slides for Coursera's Data Analysis class

datacamp

datascienceresources

Open Source Data Science Resources.

diagnosispredictor

Predicts chronic diseases using a patient's previous history

disease-prediction-from-symptoms

Disease Prediction based on Symptoms.

disease-prediction-using-machine-learning

This Machine Learning project is used to predict the disease based on the symptoms given by the user.It predicts using three different machine learning algorithms.So,the output is accurate.It uses tkinter for GUI.

diseasemodeling

Predicts timelines of disease progression and learns top baseline predictors for neurodegenerative disease—top 3 award recipient of PPMI Data Challenge hosted by Michael J. Fox Foundation for Parkinson's Research. Simulates Future Severity, Rate of Progression, and Time Until Symptom Onset.