Machine Learning & Data Science with Python, Kaggle & Pandas

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

Created by: Andrei Neagoie
Founder of zerotomastery.io

Created by: Daniel Bourke
Machine Learning Engineer/Writer/Video maker

What Will I 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 Meta 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

Requirements

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

Target audience

• 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.