aman-arya Goto Github PK

any-body-can-dance

awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

biostatistics-using-r

Statistics is the language used to summarize a large number of physical observations. And Biostatistics is Statistics applied to biological data.

brain-lower-grade-glioma-lgg-dataset-of-tcga-for-data-analysis

coursera-natural-language-processing-specialization

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

data-science--cheat-sheet

Cheat Sheets

discrete-log

discrete-logarithm-problem

everybodydancenow_reproduce_pytorch

Everybody dance now reproduced in pytorch

gapmindr-dataset-explortaion-using-r

google-data-analytics-professional-certificate

Quizzes & Assignment Solutions for Google Data Analytics Professional Certificate on Coursera. Also included a few resources on side that I found helpful.

janatahack-customer-segmentation

Analytics Vidhya Janata Hack conducted on 1st & 2nd Aug 2020

janatahack-independence-day-2020-ml-hackathon

Analytics Vidhya Janata Hack conducted on 15th to 22nd Aug 2020

janatahack-machine-learning-in-agriculture

Analytics Vidhya Janata Hack conducted on 25th & 26th July 2020

language-modelling-

Language modeling is the task of assigning a probability to sentences in a language. […] Besides assigning a probability to each sequence of words, the language models also assigns a probability for the likelihood of a given word (or a sequence of words) to follow a sequence of words

language-modelling-srilm

http://webcache.googleusercontent.com/search?q=cache:http://www.speech.sri.com/projects/srilm/manpages/ngram-count.1.html

linguistic-analysis-of-research-publications

machine-learning-imbalanced-data

Code repository for the online course Machine Learning with Imbalanced Data

master-thesis

Fourier Analysis and its Application to Roth's theorem

nef-negative-regulatory-factor-rna-seq

pandas_exercises

Practice your pandas skills!

percentage-probability-evaluation-for-covid-19

I have applied Machine Learning algorithm namely Naive Bayes, SVM, linear regression , Logistic Regression ,Random Forest, ann and unsupervised learning on realtime data containing clinical feature of “patients seen at the Hospital Israelita Albert Einstein in Brazil''. I was able to predict the percentage probability for a person to be infected with COVID-19 with good accuracy

percentage-probability-evaluation-for-covid-19-using-machine-learning

I have applied Machine Learning algorithm namely Naive Bayes, SVM, Logistic Regression and Random Forest on realtime data containing clinical feature of “patients seen at the Hospital Israelita Albert Einstein in Brazil''. I was able to predict the percentage probability for a person to be infected with COVID-19 with good accuracy and also proposed an algorithm to escalate quantitative testing with limited test kits.

pokemon-dataset-in-r-exploration

pydlp

Python implementation of the index calculus method for solving discrete logarithm problems

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

textbooks-and-study-material

Some textbooks and reference books I used in my engineering course in Computer Science

xai-series

zirf-law-dse-308-computatinal-linquistic

Zipf’s law says that: It is relationship between the frequency of a word f and rank its position in the list, known as its rank