Giter Club home page Giter Club logo

dhananjayyy / advanced-data-science-with-ibm-specialization Goto Github PK

View Code? Open in Web Editor NEW
1.0 1.0 4.0 21.19 MB

This coursera certified specialization provided deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. I also understood the mathematical foundations behind all machine learning & deep learning algorithms.

Python 4.77% Jupyter Notebook 93.37% Roff 1.87%

advanced-data-science-with-ibm-specialization's Introduction

Advanced Data Science with IBM Specialization

Assignments and Problem Sets

Fundamentals of Scalable Data Science Badge

About this specialization :

According to Coursera, as a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability.

Week 1 : Introduction to exploratory analysis

Challenges, terminology, methods and technology

Week 2 : Tools that support IoT solutions

Data storage solutions, and ApacheSpark
Programming language options and functional programming
ApacheSparkSQL, Cloudant, and the End to End Scenario

Week 3 : Mathematical Foundations on Exploratory Data Analysis

Averages and standard deviation
Skewness and kurtosis
Covariance, correlation and multidimensional Vector Spaces

Week 4 : Data Visualization

Visualization
Dimension Reduction

Week 1 : Setting the stage

Machine Learning, ML Pipelines, ETL - from Smartphone to ObjectStore

advanced-data-science-with-ibm-specialization's People

Contributors

dhananjayyy avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.