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100-days-of-machine-learning

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

challenges

PyBites Code Challenges

dat3

General Assembly's Data Science course in Washington, DC

dat4

General Assembly's Data Science course in Washington, DC

dat5

General Assembly's Data Science course in Washington, DC

dat7

General Assembly's Data Science course in Washington, DC

dat8

General Assembly's 2015 Data Science course in Washington, DC

dataanalysisdiabetesfactor

This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.

datasciencepython

common data analysis and machine learning tasks using python

datasets

Datasets used in Plotly examples and documentation

dc-michelin-challenge

Guess the correct restaurants on DC's Michelin Guide by 10/12/16. Win $500 and an invite to the French Ambassador's residence.

diamond-price-prediction

dual-moving-average-crossover-python

The famous and simple Dual Moving Average crossover strategy implemented in Python, and then backtesting it on 2 years of AAPL stock.

dynamic-array-python

This is a code repo in which we will create a dynamic array aka list using Python

exp-oracle-exadata

Source code for 'Expert Oracle Exadata' by Martin Bach, Kristofferson Arao, Andy Colvin, Frits Hoogland, Kerry Osborne, Randy Johnson, and Tanel Poder

fetching-financial-data

Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.

generate-analytics-report

Generating Covid-19 Analytics Report PDFS with Python

hello-world

R Rerpsitory

interview-prepartion-data-science

machine-learning-in-90-days

mathematicsforml

Codes From DATA256x Course on edX

ml-iris-dataset

First machine learning project following a tutorial, it used the Iris dataset. src: https://raw.githubusercontent.com/jbrownlee/Datasets/master/iris.csv

models

Models and examples built with TensorFlow

oracle-core-esntl-internals-for-dbas-devs

Source code for 'Oracle Core: Essential Internals for DBAs and Developers' by Jonathan Lewis

oracle-db-12c-perf-tuning-recipes

Source code for 'Oracle Database 12c Performance Tuning Recipes' by Sam Alapati, Darl Kuhn, and Bill Padfield

oracle-pl-sql-recipes

Source code for 'Oracle and PL/SQL Recipes' by Josh Juneau and Matt Arena

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series