rahul2200289 Goto Github PK

app

app

brain-state-classification-using-svm

Using Support Vector Machine to classify Brain State

breast-cancer-image-classification

Build a CNN classifier to identify breast cancer from images

cbrain-gan

GAN-based approach for climate models

coursera_capstone

data-science-machine-learning-ai-resources

A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.

data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

data-science-projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

datapipelineproject-youtube-channel-recommender

datasciencecoursera

This is an assignment for Coursera Course

datascienceprojects

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

datasharing

The Leek group guide to data sharing

deep-learning-book

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

dl-math-word-problem-solving

Using Seq2Seq and Transformers to convert simple Math Word Problems to their corresponding Equations

ds-projects

Data science portfolio examples.

eventsim

Event data simulator. Generates a stream of pseudo-random events from a set of users, designed to simulate web traffic.

every-data-scientist-should-know

A collection of (mostly) technical things every data scientist should know - `s/programmer/data-scientist/g` of every-programmer-should-know by @mtdvio

ggpy

ggplot port for python

go

The Open Source Data Science Masters

hadoop-fundamentals

Code for the Hadoop Fundamentals for Data Scientists course.

hello-world

TRIAL

hello-world1

TRIAL

hello-worlddddd

TRIAL

intergroup-reciprocity-using-twitter

Measuring Intergroup Reciprocity by Analysis of Tweets

natural-language-processing-name-entity-extraction

Using Conditional Random Field (CRF) model for Named-Entity Recognition. Achieve 89% accuracy in extracting vendors' names and locations from bank memos provided by Pilot, Inc.

project-based-learning

Curated list of project-based tutorials

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

r-project-parkinson-gene-prediction

rule-based-named-entity-recognition

We reached an accuracy of 75% in extracting vendors' names from transaction memos based on human-identified patterns

runestoneserver

Interactive books for computer science