Complete Machine Learning and Data Science: Zero to Mastery
Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!
What you'll learn
- ✓ Become a Data Scientist and get hired
- ✓ 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 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
Meet your instructors
Senior Software Developer turned Instructor, Founder of ZTM
Andrei is the instructor of some of the highest rated programming courses on the web. Some of his students (300,000+ in the past 2 years) now work for some of the biggest tech companies around the world like Apple, Google, Amazon, Tesla, IBM and UNIQLO.
He has worked as a Senior Software Developer in Silicon Valley and Toronto for many years and is now taking all that he has learned to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life.
Machine Learning Engineer and Instructor
Daniel is a self-taught Machine Learning Engineer who works on machine learning and data problems across a wide range of industries at one of Australia's fastest-growing artificial intelligence agencies, Max Kelsen.
He knows what it's like to try and learn a new topic, online and on your own. So he pours his soul into making sure his courses are as accessible as possible and takes complicated topics and explains them in an entertaining, yet simple and educative way.
Don't take our word for it
Often times when you want to learn DS/ML, the field is so vast that you get overwhelmed and confused about where to even begin. The flow of the course takes all those confusions away and you indeed go from Zero to Mastery. Andrei and Daniel have done an outstanding job producing this high-quality content. Hand's down one of the best DS/ML courses.
Andrei courses are by far the best resources online. I've done 4 of his courses and I can say that he is one of the best teachers. This course is well done, exciting and fun! I highly recommend it.
The course is amazing. No, you won’t be as capable as a Phd Machine Learning expert, but you’ll get hands-on Data Science and Machine Learning experience! I love the course because I’ve learned so much from a practical view and even if you don’t have much knowledge in math/programming, it’s still very approachable. Andrei and Daniel don’t disappoint, it’s worth every penny!!
Very nice course: well structured & detailed. The explanations are clear & move you step-by-step through the different topics. Andrei & Daniel did really a good job. Thank you so much guys!
Material is structured and friendly for beginners. Rather than wasting time on theory, it goes in-depth on the practical application of machine learning immediately then gives you the theory later. If you are looking to become employable in the field, look no further.
Andrei and Daniel do an excellent job of framing the information in an understandable way. Plus I love Andrei's ongoing framework of placing learning within the context of learning "on the job" through a fictional company and simultaneously setting up expectations of what it's like to work in the field. Another Andrei Neagoie goldmine course!
Why Zero To Mastery is right for you
With so many online resources available, it can be paralyzing not only figuring out where to start but more importantly which courses will actually teach you the skills you need to get hired.
That’s why the Zero To Mastery Academy exists, to provide industry-leading courses and content to teach you the relevant skills you need to advance your career and get you hired at some of the top companies in the world.
Join now to get complete access to this course and all others for only $22/month.
To make sure this course is a good fit for you, you can start learning for free right now with over 1 hour of free lessons. Click the PREVIEW links below.
Become a Data Scientist and Machine Learning engineer this year! Join thousands of other students taking this course taught by industry experts that have worked for large companies in Silicon Valley, Toronto and Australia. Graduates of Zero To Mastery courses are now working at Google, Amazon, Apple, IBM, Tesla, Facebook and 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 online (we use the latest version of Python, Tensorflow 2.0 and other libraries). This course is focused on efficiency—never spend time on confusing, out of date or incomplete Machine Learning tutorials anymore. We are confident that this is the most comprehensive and modern course you will find on the subject anywhere (bold statement, we know).
This comprehensive and project-based course will introduce you to all of the modern skills of a Data Scientist and along the way, we will build many real world projects to add to your portfolio. You will get access to all the code, workbooks and templates (Jupyter Notebooks) on Github, so that you can put them on your portfolio right away! We believe this course solves the biggest challenge to entering the Data Science and Machine Learning field: having all the necessary resources in one place and learning the latest trends and on the job skills that employers want.
The curriculum is going to be very hands-on as we walk you from start to finish of becoming a professional Machine Learning and Data Science engineer. The course covers 2 tracks. If you already know programming, you can dive right in and skip the section where we teach you Python from scratch. If you are completely new, we take you from the very beginning and actually teach you Python and how to use it in the real world for our projects. Don't worry, once we go through the basics like Machine Learning 101 and Python, we get going into advanced topics like Neural Networks, Deep Learning and Transfer Learning so you can get real-life practice and be ready for the real world. We'll show you full-fledged Data Science and Machine Learning projects and give you programming resources and cheatsheets.
The topics covered in this course are:
- Data Exploration and Visualizations
- Neural Networks and Deep Learning
- Model Evaluation and Analysis
- Python 3
- Tensorflow 2.0
- Data Science and Machine Learning Projects and Workflows
- Data Visualization in Python with MatPlotLib and Seaborn
- Transfer Learning
- Image recognition and classification
- Train/Test and cross validation
- Supervised Learning: Classification, Regression and Time Series
- Decision Trees and Random Forests
- Ensemble Learning
- Hyperparameter Tuning
- Using Pandas Data Frames to solve complex tasks
- Use Pandas to handle CSV Files
- Deep Learning / Neural Networks with TensorFlow 2.0 and Keras
- Using Kaggle and entering Machine Learning competitions
- How to present your findings and impress your boss
- How to clean and prepare your data for analysis
- K Nearest Neighbours
- Support Vector Machines
- Regression analysis (Linear Regression/Polynomial Regression)
- How Hadoop, Apache Spark, Kafka, and Apache Flink are used
- Setting up your environment with Conda, MiniConda, and Jupyter Notebooks
- Using GPUs with Google Colab
- and more!
By the end of this course, you will be a complete Data Scientist that can get hired at large companies. We are going to use everything we learn in the course to build professional real-world projects like Heart Disease Detection, Bulldozer Price Predictor, Dog Breed Image Classifier, and many more. By the end, you will have a stack of projects you have built that you can show off to others.
Here’s the truth: most courses teach you Data Science and do just that. They show you how to get started, but then you don’t know where to go from there or how to build your own projects. Or, they'll show you a lot of code and complex math on the screen but they don't really explain things well enough for you to go off on your own and solve real-life machine learning problems.
Whether you are new to programming, want to level up your Data Science skills, or are coming from a different industry, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don’t know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner with no Data Science experience, to someone that can go off, forget about Daniel and Andrei, and build their own Data Science and Machine learning workflows.
Machine Learning has applications in Business Marketing and Finance, Healthcare, Cybersecurity, Retail, Transportation and Logistics, Agriculture, Internet of Things, Gaming and Entertainment, Patient Diagnosis, Fraud Detection, Anomaly Detection in Manufacturing, Government, Academia/Research, Recommendation Systems and so much more. The skills learned in this course are going to give you a lot of options for your career.
You hear terminology like Artificial Neural Network or Artificial Intelligence (AI), and by the end of this course, you will finally understand what these mean!
Click Start Learning Now and join other ZTM Academy members getting a leg up in the industry and get hired as Data Scientists and Machine Learning Engineers. We guarantee this is better than any bootcamp or online course out there on the topic.
See you inside the course!
Answers to (at least some of) your questions
Are there any prerequisites for this course?
- No prior experience is needed (not even Math and Statistics). We start from the very basics. There are two paths within the course for those that know programming and those that don't.
- A computer (Linux/Windows/Mac) with internet connection.
- All tools used in this course are free for you to use.
Who is this course for?
- Anyone with zero experience (or beginner/junior) and wants to learn Machine Learning, Data Science and Python
- You are a programmer that wants to extend your 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
Do you provide a certificate of completion?
We definitely do.
Can I use the course projects in my portfolio?
Yes, you’d be crazy not to in our slightly biased opinion! All projects are downloadable and ready to use the minute you join. Many of our students tell us the projects they built while following along with our courses were what got them interviews and because they built the projects themselves, they could confidently explain and walk through their work during the interview. You know what that means? Job offer!
Can I download the videos?
Definitely. You can download any and all lessons for personal use. We do everything we can to make learning easy, fun, and accessible whether that’s on your commute, on a flight, or you just have limited access to good wifi.
How long does it usually take for me to build something and get hired?
Ultimately you’re the only can that can control that. However, while everyone learns at a different pace, students who put in a couple hours each day to apply what they’ve learned should be able to confidently build their own projects and start interviewing in 3-6 months. We don’t see just getting hired as the end goal though. Our advanced courses will also teach you the topics and skills you need to get promoted or hired as a senior developer.
Still have more questions specific to the Academy membership? No problem, head to the bottom of this page.
Live the life you want, starting now
Learning to code and becoming a developer provides endless opportunities to live the life you want. Whether that’s a high paying job with a world-class tech company, working remotely or building your own apps, the ZTM Academy will equip you with the skills and knowledge to achieve your dreams.
Our courses walk you through the entire journey of starting to learn to code to having a successful career as a developer. Along the way, you’ll not only be supported by Andrei, Daniel and course TAs but also your peers in the exclusive Zero To Mastery community.
Join now to take the first step to change your life.