Discover @likarajo Open Source projects

@likarajo

likarajo

Stars
28
Global Rank 517,529 (Top 18 %)
Followers 12
Following 2
Registered over 7 years ago
Most used languages

Jupyter Notebook
46.7 %

HTML
13.3 %

Python
13.3 %

JavaScript
6.7 %

Scala
6.7 %

R
6.7 %

C
6.7 %
Location 🇺🇸 United States
Country Total Rank 126,237
Country Ranking

Scala
3,321

R
3,831

Jupyter Notebook
6,468

language_translation

Deep Learning LSTM language translation model built with Keras using Neural Machine Translation with seq2seq encoder-decoder architecture

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covid19Sentiments

Using Twitter data to perform sentiment analysis on the tweets on the COVID-19 virus

premier_league

Predictions for the English Premier League season

Jupyter Notebook

passengers_count

Time Series Prediction to predict the count of traveling passengers based on historical data using Long Short Term Memory (LSTM) Neural Network

Jupyter Notebook

devops-helloworld

Continuous Integration and continuous deployment using Jenkins

searchengine

Search engine using ElasticSearch and Python

cv

Resume https://likarajo.github.io/cv/resume, Portfolio: https://likarajo.github.io/cv/portfolio, Curriculum Vitae

website_v3

Built with Gatsby | Hosted with Netlify

simOS

Implementation of a Simulated Operating System

covid19

Analysing COVID19 (Novel Coronavirus) data

business_reviews

Multi-Input Classification Model to classify user reviews regarding different businesses, including restaurants, bars, dentists, doctors, beauty salons, etc.

Jupyter Notebook

titanic_survival

Create Titanic survival prediction model using Decision Tree. Ref: https://www.kaggle.com/c/titanic/data

glass_type

Identification of the type of glass based on their oxide content i.e. Na, Fe, K, etc using Dimensionality Reduction with Principal Component Analysis and Linear Discriminant Analysis

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topics

Topic modelling

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currencynote_authenticity

Classification to predict whether a bank currency note is authentic or not based on variance of the image wavelet transformed image, skewness, entropy, and curtosis of the image using Machine Learning classifiers.

Jupyter Notebook