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 | 42.5 hours on-demand video course

Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 200,000+ developers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. This is a brand new Machine Learning and Data Science course just launched January 2020! Graduates of Andrei’s courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, + other top tech companies.

Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries).

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 modelling
• Learn how to apply Transfer Learning

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