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Learn Data Science- Machine Learning Deep learning

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v1.1.0 di Learning Hub - ML, Deep Learning, AI, DL, Coding

Su Learn Data Science

Experts curated learning resources & Cheatsheets for analytics, data science professionals & beginners. Trending topics and articles on machine learning (ML), deep learning (DL), artificial intelligence (AI), natural language processing (NLP) and data visualisation from Kaggle, data camp, Data Quest, Analytics Vidhya, FlowingData, Reddit and Medium blogs.
No more endless browsing required to learn data science concepts and get cheatsheets.
Learn data science anywhere, anytime!
Sources of Articles-
  • Kaggle blog

  • KD Nuggets

  • Data Camp

  • Dataquest

  • Analytics Vidhya

  • Reddit

  • Data School

  • Flowing Data

  • Towards Data Science

  • Simply Statistics

  • Content topics & sources-
  • Python

  • Computer Vision

  • keras

  • list of pretrained models

  • neural networks

  • object detection

  • Pretrained model

  • Deep Learning

  • Machine Learning

  • Python

  • data science

  • deep learning

  • github repositories

  • machine learning

  • python

  • Reddit

  • Reddit discussions

  • list of pretrained models

  • neural networks

  • object detection

  • Some of the posts are-
  • Model a basic trading strategy in python: from idea to execution...

  • FPGA Synthesis of Tensorflow Deep Neural Networks

  • Understanding Support Vector Machine algorithm from examples (along with code)

  • Practicing Machine Learning Techniques in R with MLR Package

  • Getting Alexa to Respond to Sign Language Using Your Webcam and TensorFlow.js

  • Extracting additional features from a dataset using neural networks

  • Artificial Intelligence (AI) emulates how people think — Artificial Emotional Intelligence (AEI) emulates how people feel

  • Create a recurrent neural network that learns to loop a variable ?

  • Help regarding model of LSTM Network

  • Is it possible to use U-net in a cGAN?

  • A Complete Tutorial to Learn Data Science with Python from Scratch

  • Essentials of Machine Learning Algorithms (with Python and R Codes)

  • Solving Multi-Label Classification problems (Case studies included)

  • Difference between Machine Learning & Statistical Modelling

  • 30 Top Videos, Tutorials & Courses on Machine Learning & Artificial Intelligence from 2016

  • 7 Types of Regression Techniques you should know!

  • A Complete Tutorial on Ridge and Lasso Regression in Python

  • How to use Multinomial and Ordinal Logistic Regression in R ?

  • 30 Questions to test your understanding of Logistic Regression

  • A Complete Tutorial on Tree Based Modeling from Scratch in R & Python

  • 6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)

  • Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data

  • How Decision Tree model is different from Random Forest?

  • A Complete Tutorial to Learn Data Science with Python from Scratch
    Essentials of Machine Learning Algorithms (with Python and R Codes)
    Difference between Machine Learning & Statistical Modelling
    7 Types of Regression Techniques you should know!
    A Complete Tutorial on Ridge and Lasso Regression in Python
    How to use Multinomial and Ordinal Logistic Regression in R ?
    30 Questions to test your understanding of Logistic Regression
    A Complete Tutorial on Tree Based Modeling from Scratch in R & Python
    The most comprehensive Data Science learning plan
    6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)
    Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data
    Solving Multi-Label Classification problems (Case studies included)
    A Complete Tutorial on Time Series Modeling in R
    Understanding Support Vector Machine algorithm from examples (along with code)
    Practicing Machine Learning Techniques in R with MLR Package

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    now you can share content with friends
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