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📢 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.
Answers to 120 commonly asked data science interview questions.
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Checking cosine similarity between webpages
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Detecting fraudulent credit card transactions with supervised learning
Using KNN Technique, train the model then predict whether a credit-card transaction is Fraud or not.
Machine learning models to predict the currency exchange rate between given two countries.
:bar_chart: Path to a free self-taught education in Data Science!
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.
Data science interview questions with answers. Not ideally (yet)
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Notebooks for learning deep learning
Compilation of resources and insights that helped me on my journey to data scientist
Using the sentiment of The Guardian business, politics and world news to forecast the UK/US Exchange rate
Classification of fraudulent credit card transactions.
This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth
Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)
Objective of this competition is to use historical loan application data to predict whether or not an applicant will be able to repay a loan.
Kaggle home credit default risk competition
My solution and ideas to start & finish a kaggle competition in a week
A collection of machine learning examples and tutorials.
Markowitz portfolio optimization on synthetic and real stocks
Kai Sheng Teh - Udacity Predictive Analytics for Business Nanodegree
Kaggle Competition: developing a predictive model for risk classification
Repository to store sample python programs for python learning
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.