huseyinelci Goto Github PK

airbnb_boston

AirBnB dataset for Boston

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

customer-satisfaction

Santander Bank is asking Data Scientist to help them identify dissatisfied customers early in their relationship. Doing so would allow Santander to take proactive steps to improve a customer's happiness before it's too late.

customersegmentation

This analysis on the Bertelsmann-Arvato data set will be a customer segmentation where a data set compiled with customers from a mail order company is compared with a data set sample from the general population of Germany.

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

de-datamodelingetlprocessingwithcassandraofsparkifymusichistory

They'd like a data engineer to create an Apache Cassandra database which can create queries on song play data to answer the questions, and wish to bring you on the project.

de-datamodelingofsparkifysongplay

In this project consists of practice Data modeling with PostgreSQL and Processing ETL pipeline on Python.

de-etlprocessingwithpython

Understanding Extract, Transform and Load (ETL) in Data Driven world with an example in Python Code

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

disasterresponsepipeline

This dataset contains 30,000 messages drawn from events including an earthquake in Haiti in 2010, an earthquake in Chile in 2010, floods in Pakistan in 2010, super-storm Sandy in the U.S.A. in 2012, and news articles spanning a large number of years and 100s of different disasters.

effective_jupyterlab

Using JupyterLab Effectively (JupyterLab’ı etkin bir şekilde kullanma)

estimatetheprobabilityofbecomingacustomer

Estimate the probability of becoming a Customer from those who have visited the Website.

fairlearn

A Python package that implements a variety of algorithms that mitigate unfairness in supervised machine learning.

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

javascript-algorithms

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

kubernetes

Production-Grade Container Scheduling and Management

matplotlib

matplotlib: plotting with Python

mltutorial

Machine Learning Tutorial in IPython Notebooks

myscalalibrary

nvd3

A reusable charting library written in d3.js

pegdown

A pure-Java Markdown processor based on a parboiled PEG parser supporting a number of extensions

projects-basic-introduction-r

Introduction to DataCamp Projects by Rasmus Bååth

promotionanalysistostarbucks

The data for this exercise consists of about 120,000 data points split in a 2:1 ratio among training and test files.

python-istihza

istihza Python Belgeleri

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

recommendation-engine

Personalized recommendation engines were created for the users who interact with articles on IBM Watson Studio platform. Implemented multiple variations of the recommendation engines.

recommendationofarticle

Recommendation of Article with dataset of IBM Watson