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Home » Ebooks & Tutorials » Technical » Development Training » Complete A.I. Machine Learning and Data Science: Zero to Mastery | ZeroToMastery

Complete A.I. Machine Learning and Data Science: Zero to Mastery | ZeroToMastery

28/05/2025 Tut4DL Leave a Comment


Complete A.I. Machine Learning and Data Science: Zero to Mastery | ZeroToMastery [Update 04/2025]
English | Size: 29.5 GB
Genre: eLearning

One of the most popular, highly rated A.I., machine learning and data science bootcamps online. It’s also the most modern and up-to-date. Guaranteed. You’ll go from complete beginner with no prior experience to getting hired as a Machine Learning Engineer this year.

You’ll learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence), Python, Python with Tensorflow, Pandas & more!

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

Machine Learning has applications in almost every industry and is becoming more widely used every single year.

Marketing
Finance
Healthcare and Patient Diagnosis
Cybersecurity
Retail
Transportation and Logistics
Agriculture
Internet of Things
Gaming and Entertainment
Fraud Detection
Anomaly Detection in Manufacturing
Government
Academia/Research
Recommendation Systems
Sports (every heard of Moneyball?!)
And so many more. It’s everywhere. The skills you’ll learn in this course can be applied to all of these industries and give you a lot of options for your career.

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Development Training A.I. Machine Learning, Data Science, Machine Learning

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