sibeltan
"It is a capital mistake to theorize before one has data." Sherlock Holmes
Disney Television AnimationLos Angeles
Pinned Repositories
2019-oct
Bayesian Methods using PyMC3 and ArviZ @ Sweetgreen
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
data-science-blogs
A curated list of data science blogs
disney_movies_analysis
Exploratory data analysis and regression models to predict box office revenue prediction on Disney movies produced since the debut film Snow White and Seven Dwarf in 1937.
fire_alert_system
A fire alert system that utilizes social media activity to identify when an emergency first occurs. Utilized Random Forest Classifier and Time Series Analysis to detect anomalies in geo-tagged Twitter posts that were collected through Twitter API and developed a Flask web application to generate live notifications.
nyc_taxi_trip_duration
Data visualization using geospatial data from NYC yellow cab trip duration data from 2016.
pneumonia_detection_CNN
Pneumonia detection application with convolutional neural network utilizing chest X-ray images.
Portfolio
My data science & machine learning portfolio projects.
stock_price_prediction_LSTM
An artificial recurrent neural network (RNN) to predict the future price of stock.
western_analytical_lab_project
Transforming and analyzing asbestos testing lab reports data to capture patterns over the years and locations.
sibeltan's Repositories
sibeltan/pneumonia_detection_CNN
Pneumonia detection application with convolutional neural network utilizing chest X-ray images.
sibeltan/stock_price_prediction_LSTM
An artificial recurrent neural network (RNN) to predict the future price of stock.
sibeltan/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
sibeltan/data-science-blogs
A curated list of data science blogs
sibeltan/disney_movies_analysis
Exploratory data analysis and regression models to predict box office revenue prediction on Disney movies produced since the debut film Snow White and Seven Dwarf in 1937.
sibeltan/fire_alert_system
A fire alert system that utilizes social media activity to identify when an emergency first occurs. Utilized Random Forest Classifier and Time Series Analysis to detect anomalies in geo-tagged Twitter posts that were collected through Twitter API and developed a Flask web application to generate live notifications.
sibeltan/2019-oct
Bayesian Methods using PyMC3 and ArviZ @ Sweetgreen
sibeltan/atom
:atom: The hackable text editor
sibeltan/nyc_taxi_trip_duration
Data visualization using geospatial data from NYC yellow cab trip duration data from 2016.
sibeltan/Portfolio
My data science & machine learning portfolio projects.
sibeltan/western_analytical_lab_project
Transforming and analyzing asbestos testing lab reports data to capture patterns over the years and locations.
sibeltan/awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
sibeltan/Chart.js
Simple HTML5 Charts using the <canvas> tag
sibeltan/CodeWars
Bite-size programming challenges for fun.
sibeltan/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
sibeltan/d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
sibeltan/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
sibeltan/datacamp-community-tutorials
Tutorials for DataCamp (www.datacamp.com)
sibeltan/DataScienceSpecialization.github.io
http://DataScienceSpecialization.github.io
sibeltan/folium
Python Data. Leaflet.js Maps.
sibeltan/go
The Open Source Data Science Masters
sibeltan/house_price_prediction
A regression model based on the Ames Housing Dataset to predict house prices for interested buyers and sellers. The success of the model is evaluated on unseen data provided on Kaggle.
sibeltan/lucky-parking
Helps people look for nearby street parking with the least probability of getting citations
sibeltan/monte_carlo_commisions
Predicting how much money should be budgeted for sales commissions for the following year using Monte Carlo simulation.
sibeltan/node
Node.js JavaScript runtime :sparkles::turtle::rocket::sparkles:
sibeltan/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
sibeltan/react-chartjs
common react charting components using chart.js
sibeltan/solutions
Solutions for projects.
sibeltan/subreddit_classification
A classification model based on Reddit data in order to predict which subreddit a particular post belongs to.
sibeltan/tableau_viz
Some data visualization work using Tableau 2020.