jombaba Goto Github PK

-probability-strategies.

a presentation of a project participation in NFL 2023 big-data competition.

apps-project---cleaning-transforming-and-visualizing

Springboard Apps project - Tier 1 - Cleaning, transforming and visualizing

auto-sklearn

Automated Machine Learning with scikit-learn

auto-sklearn-examples

auto-sklearn examples on Jupyter notebooks

auto_viml

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

autoweka

Auto-WEKA

data-exploration

This is the second in the series of projects. Here, our purpose is to do a pre-analysis examination of the ‘Credit Card Application’ (CAD) data set which we cleaned up in a prior project. In the previous project, we successfully removed all the missing values in the data set. Now, as a prelude to data analysis we ask questions in order to investigate and better understand the data set. In order words, we seek to find answers to why the phenomenon described in the data set happened. We are looking for opportunities to expand the scope of our search for a plausible model of the classifier variable. Probably, a diagnostic analytics of the data set might reveal unintended discoveries along the way.

data-visualization

This is the third in the series of projects. Our purpose is to examine the ‘Credit Card Application’ (CAD) data set and present an interactive dashboard which will be useful for data science teams and more business oriented end-users. In the first of the projects in this series, we successfully removed all the missing values in the data set. After that, we featured an investigative look at the data set where we were looking for unintended discoveries of characteristics in the data set. Here, we develop a single-item dashboard which is based on the distribution of two of the sixteen variables of the data set. The two variables used in the plot were chosen arbitrarily.

datacleansing

This is the first in a series of projects. The purpose of the data cleaning project is to clean-up the ‘Credit Card Application’ dataset by removing missing and other out of place characters. Initial examination of the dataset shows that we have missing values to contend with. There are 67 missing values in the dataset. The dataset comprises continuous and nominal attributes of small and large values. For reasons of privacy, the dataset was published with column labels A1 – A16 replacing the actual descriptive labels.

dataprep

DataPrep — The easiest way to prepare data in Python

dsc_intro

Exercises to accompany the free Springboard introductory data science "taster" course.

during-covid-19-what-are-the-effects-of-state-and-federal-funding---priorities-and-inadequacie

The aim is to examine Local and Federal funding patterns with respect to the eligibility of students either for free lunch or for reduced-price lunch. Typically, the % of students taking part in these food programs should increase given the availability of Federal funds spent to reinburse State funds spent on feeding the children.

during-the-2020-covid-19-pandemic-how-did-engagement-with-digital-learning-relate-to-social-and-dem

The aim is to examine and reveal relationship(s) between various components of the digital learning phenomenon and by so doing, provide critical information for reviews and enactments of policy(ies). Generally, 'pct_access' is assumed to be a measure of social access concerns in the USA:

financial_data_analysis

Sample Codes for the Medium Publication "Financial Data Analysis"

flaml

A fast library for AutoML and tuning.

gama

An automated machine learning tool aimed to facilitate AutoML research.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

jh-kaggle-util

Jeff Heaton's Kaggle Utilities

learnplatform-covid-19-impact-on-digital-learning

mlbox

MLBox is a powerful Automated Machine Learning python library.

numpy

The fundamental package for scientific computing with Python.

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pyautoweka

AutoWeka for python

stackingclassifiers_medium

Stacking Classifiers for Higher Predictive Performance

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

tpot_share

for testing purpose

youtube

Source Code for Youtube Videos