alimpolat Goto Github PK
Name: Alim Polat
Type: User
Bio: I am an experienced Data Scientist.
Location: Stockholm, Sweden
Name: Alim Polat
Type: User
Bio: I am an experienced Data Scientist.
Location: Stockholm, Sweden
Repository for 10 Days of ML
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
[Updated] A simple python crawler for my tutorial blog at http://www.jianshu.com/p/8fb5bc33c78e
This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX
IPython Notebooks from the EdX CS105x-Introduction-to-Apache-Spark
Coursework Notebooks for BerkeleyX: CS110x Big Data Analysis with Apache Spark
This repository contains code files specifically IPython notebooks for the assignments in the course "Scalable Machine Learning" by UC Berkeley and Databricks on edX
Books about Nodejs, Angular2, Agile, Clean Code, Docker, Golang, Microservices, REST, TDD, BDD, and Startups.
Essential Cheat Sheets for deep learning and machine learning researchers
Using an afticial neural network to predict customers who leave the bank.
Quiz & Assignment of Coursera
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Time Series based analysis of cryptocurrency prediction using deep learning models
BerkeleyX: CS105x Introduction to Apache Spark
Source code and notes about the CS190.1x "Scalable Machine Learning" course from Berkeley through the edX platform.
Convolutional Neural Networks
Data and code behind the articles and graphics at FiveThirtyEight
A curated list of data science blogs
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
Coursera Data Science Course
The Leek group guide to data sharing
Repo for the Deep Learning Nanodegree Foundations program.
Deep Learning Specialization by Andrew Ng on Coursera.
Introduction to Deep Neural Networks with Keras and Tensorflow
Keras code and weights files for popular deep learning models.
Udacity's Deep Learning Nano Foundation program.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.