KirosG

2016-10-facebook-fact-check

Data and analysis for the BuzzFeed News article, "Hyperpartisan Facebook Pages Are Publishing False And Misleading Information At An Alarming Rate."

An-Introduction-To-Applied-Bioinformatics

Interactive lessons in bioinformatics.

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

Community_Projects

Ames Housing price Prediction, SAT_ACT statistical analysis,Reddit engagement using natural Language processing TF-IDF, Titanic survival predictions

DC-Crime-Prediction

Contrary to the general belief that crimes happen at night or dark, in the nations capital most offenses or crimes happen during the evening.The Lab @ DC Consulting Project

Predicting-prescriber-induced-ovedoses

The objective of this capestone is to identify types of prescribers that are a high-risk for opioid related fatalities across the country and predict most influential opioids leading to opioid related deaths.

West-Nile-Virus-Project

Determined which species of mosquito are most common, and which are most likely to carry WNV. Made dummies to reflect whether trap data corresponded to one of the chief carrier mosquitos, and whether trap data collected from a particular street. Obtained total pricipation data, and average temperature data for the 14 days prior to the date of each trap measurement. Obtained distance to the nearest site where standing water was reported to the city of Chicago and to the nearest site where pesticides were sprayed (for the years in which data were available: 2011 and 2013). Additioanl Data Setup Obtained the average day length for the 7 days prior to the date of trap measurement. Obtained wind data for the 20 days prior to the date of measuremeent. Added latitude, longitude data (although only longitude data used for modeling). Modeling Notebook contains some EDA, to describe the relationship between the day length, weather, and longitude features and WNV classification status. Day length was the feature that varied the most dramatically between the two classes. Generated models (Random Forest, SVC, and Logistic Regression). Generated Kaggle submission. Kaggle Score is reported in 05_Kaggle Score.png. Best AUC_ROC score was .665, generated using logistic regression. The primary features relied on by the logistic regression were day length, day length squared, the particular mosquito found in the trap, and recent temperature, the longitude (i.e., distance to Lake Michigan), wind in the recent past, and whether the trap was from certain streets that were "hot spots" for WNV.

Wine_review_2018

There's not a significant correlation between the cost of wine and its rating (because 0.477 == moderate relationship (usually 0.5 ~ 1.0 == strong relationship)), namely theres an average $1.24 increase for every one point incrase in rating. B. Worse wines are slightly sweeter than better wines. C. Wine reviews do not represent accurately wine-types.(64% of accuracy)

KirosG/Community_Projects

Ames Housing price Prediction, SAT_ACT statistical analysis,Reddit engagement using natural Language processing TF-IDF, Titanic survival predictions

KirosG/aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

KirosG/AMLDataPrepDocs

Documentation for Microsoft Azure Machine Learning Data Preparation

KirosG/dash-html-components

HTML components for Dash

KirosG/DeepLearningExamples

Deep Learning Examples

KirosG/did

What did you do last week, month, year?

KirosG/flask_api_example

A demonstration of best practices for a large Flask API project

KirosG/fuzzywuzzy

Fuzzy String Matching in Python

KirosG/kepler.gl

KirosG/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

KirosG/mssql-cli

A command-line client for SQL Server with auto-completion and syntax highlighting

KirosG/notebooks-contrib

RAPIDS Community Notebooks

KirosG/Pandas-Bokeh

Bokeh Plotting Backend for Pandas and GeoPandas

KirosG/pbpython

Code, Notebooks and Examples from Practical Business Python

KirosG/plato-research-dialogue-system

This is the Plato Dialogue System, a flexible platform for developing conversational AI agents.

KirosG/plotly.py

An interactive, browser-based graphing library for Python :sparkles:

KirosG/plotly_express

Plotly Express - simple syntax for complex charts

KirosG/PRML

PRML algorithms implemented in Python

KirosG/pyforest

Lazy-import of all popular Python Data Science libraries

KirosG/Python-1

All Algorithms implemented in Python

KirosG/python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

KirosG/qgrid

An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

KirosG/requests-oauthlib

OAuthlib support for Python-Requests!

KirosG/six

Python 2 and 3 compatibility library

KirosG/stats-illustrations

R & stats illustrations by @allison_horst

KirosG/statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

KirosG/streamlit

Streamlit — The fastest way to build custom ML tools

KirosG/text-summarization

Text summarization algorithm for the Capstone Project at Springboard code bootcamp

KirosG/tidyverse

Easily install and load packages from the tidyverse

KirosG/Vital_Java_concepts