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Could someone tell me how to learn Data Science and Machine Learning?

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If you are a beginner and just starting out, I would recommend checking out all the resources on the internet first to build a strong foundation of the fundamentals of both domains. You can easily refer to video tutorials, free courses, blogs, e-books, journals, etc. Here is a YouTube playlist curated by Intellipaat that covers in-depth on the Data Science domain - 

Below is another comprehensive tutorial for Machine Learning:

All these tutorials are aimed at helping out beginners such as yourself learn the domains from scratch in an effective manner. 

As a Data Science aspirant, you will need to acquire the following skills:

  • Data Exploration

  • Data Manipulation

  • Data Visualization & Communication

  • Python

  • R programming

  • Big Data Hadoop

  • Machine Learning and AI

  • Statistics

  • SQL Database/Coding

  • Apache Spark

  • Multivariable Calculus & Linear Algebra

  • Logistic Regression

  • Decision Trees and Random Forest

  • Unsupervised Learning

  • Association Rule Mining and Recommendation Engines

For Machine Learning, you should acquire the following skills:

  • Supervised Learning and Linear Regression

  • Classification and Logistic Regression

  • Decision Tree and Random Forest

  • Naïve Bayes and Support Vector Machine 

  • Unsupervised Learning

  • Natural Language Processing and Text Mining 

  • Deep Learning

  • Time Series Analysis 

Intellipaat has a carefully curated Data Science course and a Machine Learning course. Make sure to consult the course advisors at Intellipaat to find out which training will be suitable for you. The courses offer 24/7 learning support, the opportunity to work on real-time industrial projects, as well as placement assistance

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