Scylidose / 100DaysOfCodeChallenge2

My Submission for the 100 Days Of Code Challenge (Round 2) ~ Focus on Machine Learning.

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100 Days of Code Challenge

Goals

  • Training

    • Machine Learning A-Z™: Hands-On Python & R In Data Science
      Hadelin de Ponteves and Kirill Eremenko

    • Machine learning Stanford Andrew Ng

    • Intro to Artificial Intelligence Udacity

    • Machine Learning for Data Science and Analytics Columbia University course

    • TensorFlow 2.0: A Complete Guide on the Brand New Tensorflow Udemy

  • Books

    • Python for Data Analysis Data Wrangling with Pandas, Numpy, and IPython
      WES MCKINNEY

    • Machine learning with Python
      ANDREAS C.MUELLER and SARAH GUIDO

    • Learn Machine Learning In One Day

    • Mastering Machine Learning with Python in Six Steps book.

    • Pattern Recognition and Machine Learning
      CHRISTOPHER M. BISHOP

Rules

  1. Code for minimum an hour a day

  2. Tweet your progress daily with the hashtag: #100DaysOfCode

  3. Connect with the community on Twitter

  4. Keep a daily log of your progress

Calendar

Round 1 - Ended 8th August 2018

Round 2 - Ended 21th August 2019

About

My Submission for the 100 Days Of Code Challenge (Round 2) ~ Focus on Machine Learning.


Languages

Language:Jupyter Notebook 83.1%Language:Python 16.4%Language:R 0.5%