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🇺🇸,World Traveler,Women in Tech,Sr. SDE-Earning my bread using 0&1,Coursera Instructor ML & GCP, Trekker, Avid Reader,I write for fun@AI & Python publications

Extreme version of k-fold cross-validation — To estimate the performance of machine learning algorithms

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Here is what they found…

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How different technologies are correlated with each other and how developers use these technologies?


Amazing Insights ….

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Great Analysis Results from 100,000+ Developers and Hiring Managers

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Which role is in demand?


A Quick Implementation Guide

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Iterators


Deep dive into Important topics, code, resources and implementations…

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Day 1 : Python Basics with Code Implementation— Part 1

Intro to Python

  • Interpreted − Python is processed at runtime by the interpreter. i.e you do not need to compile your program before executing it
  • Interactive − You can interact with the interpreter directly to write your programs
  • Portable — It can run on wide range of hardware Platforms
  • Object-Oriented − Python supports Object-Oriented style and Procedural Paradigms
  • Used as a scripting language or can be compiled to byte-code…


With implementation/code…

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Python Regular Expressions

  • In python, to specify regular expressions, metacharacters are used which are interpreted by RegEx engine
  • A list of metacharacters: [] . ^ + ? {} () \ | $ *


With Implementation Code…

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DefaultDict

  • If you try to access or modify a missing key, then defaultdict will automatically create the key and generate a default value for it
  • A defaultdict will never raise a KeyError
  • Any key that does not exist gets the value returned by the default factory
  • Hence, whenever…


With Project Code Implementation…

Image credits : progrommersought

Introduction

When dealing with high dimensional data, it is often useful to reduce the dimensionality by projecting the data to a lower dimensional subspace which captures the “essence” of the data. This is called dimensionality reduction.

~ Machine Learning: A Probabilistic Perspective, 2012.

  1. Feature Selection Methods
  2. Matrix Factorization
  3. Autoencoder Methods
  4. Manifold…

Naina Chaturvedi

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