burakpolater

burakpolater's Stars

• fchollet/deep-learning-with-python-notebooks

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

  Language:Jupyter Notebook18.6k6531858.6k

• Python-World/python-mini-projects

  A collection of simple python mini projects to enhance your python skills

  Language:Python14.8k2821844.8k

• rougier/numpy-100

  100 numpy exercises (with solutions)

  Language:Python12k205855.7k

• guipsamora/pandas_exercises

  Practice your pandas skills!

  Language:Jupyter Notebook10.7k312658.2k

• ajcr/100-pandas-puzzles

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

  Language:Jupyter Notebook2.5k75132.9k

• justmarkham/pandas-videos

  Jupyter notebook and datasets from the pandas video series

  Language:Jupyter Notebook2.1k19781.9k

• AmoDinho/datacamp-python-data-science-track

  All the slides, accompanying code and exercises all stored in this repo. 🎈

  Language:Python787205524

• justmarkham/pycon-2019-tutorial

  Data Science Best Practices with pandas

  Language:Jupyter Notebook527370336

• mebaysan/DockerElKitabi

  Docker Öğrenirken Aldığım Notlar

  Language:Dockerfile27112054

• shahumar/Free-Machine-Learning-Books

  A curated collection of free Machine Learning related eBooks

  1855094

• PacktPublishing/Machine-Learning-Engineering-with-Python

  Machine Learning Engineering with Python

  Language:Jupyter Notebook1678297

• gaih/introduction-to-machine-learning

  Language:Jupyter Notebook1166069

• mebaysan/TemelGitElKitabi

  Temel Git Bilgilerini İçeren Döküman

  1057020

• MicroStrategy/mstrio-py

  Python integration for MicroStrategy

  Language:Python902411460

• codesensei-courses/flask-getting-started

  Demo code for the Pluralsight course "Flask: Getting Started"

  Language:HTML443081

• mertkaya0/market

  Language:Python13102

• seneralkan/nyc-taxi

  Data Engineering Project (Live Dashboard) and On-the-fly ML Prediction using Kafka, Spark, ElasticSearch and HDFS

  Language:Jupyter Notebook8102

• pinar-oner/end_to_end_hitters_ml

  Can a machine learning project be implemented to estimate the salaries of baseball players whose salary information and career statistics for 1986 are shared?

  Language:Python7100

• didemerkan/AB_Testing

  Language:Python5100

• KemalGunay/Feature-Engineering

  Language:Python50

• serapgur/Python

  Language:Python5101

• YaseminOran/gensim_word2vec

  Language:Python5100

• AbdulkadirSengul/Oracle-SQL

  Oracle SQL ders notlarım

  4

• azizepalali/diabetes_model_prediction

  Language:Python2200

• KemalGunay/Machine-Learning-Methods-R

  Language:Jupyter Notebook2100

• melismendi/HITTERS_SALARY_PREDICTION_WITH_ML

  Language:Python2100

• degerlisalih/degerlisalih

  1

• Kalbaliev/Fast-API-PostgreSQL

  How to make API with Fast-Api and connect to PostgreSQL database on Python Programming Language

  Language:Python1

• nilaykaradeniz/HITTERS_SALARY_PREDICTION

  Language:Python1

• sezginildes/readme-typing-svg

  ⚡ Dynamically generated, customizable SVG that gives the appearance of typing and deleting text. Typing SVGs can be used as a bio on your Github profile readme or repository.

  Language:PHP1001