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COMPLETE MACHINE LEARNING AND DATA SCIENCE: ZERO TO MASTERY

COMPLETE MACHINE LEARNING AND DATA SCIENCE: ZERO TO MASTERY

COMPLETE MACHINE LEARNING AND DATA SCIENCE: ZERO TO MASTERY
COMPLETE MACHINE LEARNING AND DATA SCIENCE: ZERO TO MASTERY


Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!

Created by Andrei Neagoie, Daniel Bourke
Last updated 2/2020
English
English [Auto-generated]

What you’ll learn


  • Become a Data Scientist and get hired
  • Master Machine Learning and use it on the job
  • Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0
  • Use modern tools that big tech companies like Google, Apple, Amazon, and Facebook use
  • Present Data Science projects to management and stakeholders
  • Learn which Machine Learning model to choose for each type of problem
  • Real-life case studies and projects to understand how things are done in the real world
  • Learn best practices when it comes to Data Science Workflow
  • Implement Machine Learning algorithms
  • Learn how to program in Python using the latest Python 3
  • How to improve your Machine Learning Models
  • Learn to pre-process data, clean data, and analyze large data.
  • Build a portfolio of work to have on your resume
  • Developer Environment setup for Data Science and Machine Learning
  • Supervised and Unsupervised Learning
  • Machine Learning on Time Series data
  • Explore large datasets using data visualization tools like Matplotlib and Seaborn
  • Explore large datasets and wrangle data using Pandas
  • Learn NumPy and how it is used in Machine Learning
  • A portfolio of Data Science and Machine Learning projects to apply for jobs in the industry with all code and notebooks provided
  • Learn to use the popular library Scikit-learn in your projects
  • Learn about Data Engineering and how tools like Hadoop, Spark, and Kafka are used in the industry
  • Learn to perform Classification and Regression modeling
  • Learn how to apply Transfer Learning


Requirements


  1. No prior experience is needed (not even Math and Statistics). We start from the very basics.
  2. A computer (Linux/Windows/Mac) with an internet connection.
  3. Two paths for those that know programming and those that don’t.
  4. All tools used in this course are free for you to use.


See you inside the course!

Who this course is for:
  • Anyone with zero experience (or beginner/junior) who wants to learn Machine Learning, Data Science and Python
  • You are a programmer that wants to extend their skills into Data Science and Machine Learning to make yourself more valuable
  • Anyone who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field
  • You’re looking for one single course to teach you about Machine learning and Data Science and get you caught up to speed with the industry
  • You want to learn the fundamentals and be able to truly understand the topics instead of just watching somebody code on your screen for hours without really “getting it”
  • You want to learn to use Deep Learning and Neural Networks with your projects
  • You want to add value to your own business or company you work for, by using powerful Machine Learning tools.


Size: 13.25GB
https://www.udemy.com/course/complete-machine-learning-and-data-science-zero-to-mastery/

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