Pinned Repositories
30-Days-of-Python
For the next 30 days, learn the Python Programming language.
Adafruit_CircuitPython_Fingerprint
CircuitPython library for talking to UART-based Fingerprint sensors
airflow-tutorial
Apache Airflow tutorial
AngularJS-Learning
A bunch of links to blog posts, articles, videos, etc for learning AngularJS
ar-cutpaste
Cut and paste your surroundings using AR
ASSOOFS
awesome
😎 Awesome lists about all kinds of interesting topics
Hadoop-On-Window
HADOOP 2.8.0 (22 March, 2017) INSTALLATION ON WINDOW 10
MachineLearningModels
python-samples
🐍 Python samples for G Suite products.
LifeLex's Repositories
LifeLex/Hadoop-On-Window
HADOOP 2.8.0 (22 March, 2017) INSTALLATION ON WINDOW 10
LifeLex/Disease-Prediction-from-Symptoms
Disease Prediction based on Symptoms.
LifeLex/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.
LifeLex/DiseaseClassifier
Using a Naive Bayes Classifier gets possible diseases from symptoms
LifeLex/EGUI-Project1
JavaFx Task manager
LifeLex/elasticsearch-groovy
Elasticsearch Groovy client
LifeLex/gcp-terraform-workshop
Introduction to provisioning basic infrastructure on Google Cloud Platform with Terraform
LifeLex/Gmail-Api-through-Python
Using Gmail API and Python to read mail messages
LifeLex/Groovy-Goodness
Sample source scripts for Groovy Goodness series
LifeLex/Medical-diagnosis-using-fuzzy-logic
A soft computing method based web project which helps in predicting the disease based on the symptoms of the patient. Also informs the patients about nearby doctors availability and precautions to be taken. The heart of the project is Fuzzy Logic , a soft computing technique which makes use of knowledge base made by the experts(doctors in this case) to predict the disease severity.
LifeLex/Predicting-Diseases-From-Symptoms
Training a decision tree to predict diseases from symptoms.
LifeLex/simplefs
A simple, kernel-space, on-disk filesystem from the scratch
LifeLex/Symptom-X-
Using available datasets of Symptoms X diseases, I generate a graph of the same with the subgraphs consisting of illness and symptom nodes. There would be two kinds of nodes- the Symptom or Factor node and the Disease node. Using Gephi for graph visualization.
LifeLex/the-little-mongodb-book
The Little MongoDB Book