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baptvit / Artificial_Intelligence

My courses and activities in Artificial Intelligence

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data-sciencedeep-learningexcelmachine-learningpythonr

Learning Data Science

Course base

This is the Curriculum for Learn Data in 3 Science Months by Siraj,Dreams in the CodingTrain Raval and Roadmap: How to Learn Machine Learning in 6 Months by Zach Miller.

Resource attributes

Since resources across the internet vary in terms of their pre-requisites and general accessibility, it is useful to give attributes to them so that it is easy to understand where a resource fits into the wider machine learning scope. Below is a few suggested attributes (please extend):

  • 📘 = Doing
  • ✔️ = Completed
  • 🌈 = creative
  • :bowtie: = beginner
  • 😅 = intermediate, some pre-requisites
  • :godmode: = advanced, many pre-requisites

Tools Used

  • Python, SQL, R, Tensorflow,Spark, Excel

Accelerated Learning Techniques

  • Watch videos at 2x or 3x speed using a browser extension
  • Handwrite notes as you watch for memory retention
  • Immerse yourself in the community

Data Analysis

Learn basics data analysis with Excel -

Learn Python -

Learn R -

Statistics & Probability

Data Pre-processing, Data Visualization, Exploratory Data Analysis

Machine Learning

Math of Machine Learning Cheat Sheets

Algorithms & Machine Learning

Deep Learning

Real-World Tools

Databases (SQL + NoSQL)

About

My courses and activities in Artificial Intelligence

data-sciencedeep-learningexcelmachine-learningpythonr

License:MIT License

Languages

Language:Jupyter Notebook 99.5%Language:Python 0.5%Language:R 0.0%Language:JavaScript 0.0%