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

Machine learning is making waves across various sectors, with its presence growing year after year.

• Marketing
• Finance
• Healthcare and Medical Diagnostics
• Cybersecurity
• Retail
• Logistics and Transportation
• Agriculture
• Internet of Things
• Gaming and Entertainment
• Fraud Detection
• Manufacturing Anomaly Detection
• Government
• Academia and Research
• Recommendation Systems
• Sports (ever heard of Moneyball?)

And there are countless other areas. It’s ubiquitous. The expertise you gain from this course can be tailored to various industries, opening numerous career pathways.

Graduates of Zero to Mastery are now thriving at prestigious companies like Google, Tesla, Amazon, Apple, IBM, Uber, Facebook, Shopify, and others in the tech sector.

Many of them are also excelling as freelancers, earning while working remotely from every corner of the world.

You could be next.

By signing up today, you'll get access to our vibrant live online community classroom, connecting you with thousands of fellow learners, alumni, mentors, teaching assistants, and instructors.

Most importantly, you will learn data science and machine learning from industry veterans with hands-on experience from leading firms in Silicon Valley, Toronto, and Australia.

This course is designed for efficiency, ensuring you’ll never waste time on outdated or incomplete machine learning tutorials again.

This immersive, project-driven course will equip you with all the essential skills of a data scientist, during which you'll create numerous real-world projects to showcase in your portfolio.

You’ll also gain access to all code, workbooks, and templates (Jupyter Notebooks) hosted on GitHub, allowing you to quickly enhance your portfolio!

This course addresses the primary obstacle to entering the data science and machine learning field:

Access to all resources in one place and up-to-date learning on in-demand skills that employers actually seek.

The curriculum is very practical, guiding you step-by-step to becoming a proficient machine learning engineer or data scientist.

The course offers 2 tracks:

1️⃣ Programmer: If you’re already proficient in programming, feel free to jump straight in and skip the Python basics.

2️⃣ No Programming Experience: If you’re starting from scratch, don’t worry. We’ll teach you Python from the ground up and apply it to real-world projects.

Rest assured, you’ll also go well beyond the fundamentals.

Once you grasp the basics like Machine Learning 101 and Python, we’ll delve into advanced topics such as Neural Networks, Deep Learning, and Transfer Learning, ensuring you gain practical experience ready for the job market.

You’ll be exposed to comprehensive data science and machine learning projects and will get access to additional programming materials and cheatsheets.

Key topics that you will cover in this Data Science & Machine Learning Bootcamp include:

• Data Exploration and Visualization
• Neural Networks and Deep Learning
• Model Evaluation and Analysis
• Python 3
• TensorFlow 2.0
• Numpy
• Scikit-Learn
• Data Science and Machine Learning Projects and Workflows
• Data Visualization 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 DataFrames for complex tasks
• Handling CSV Files with Pandas
• Deep Learning/Neural Networks using TensorFlow 2.0 and Keras
• Leverage Kaggle for machine learning competitions
• How to present your findings effectively
• Data preparation and cleaning techniques
• K Nearest Neighbours
• Support Vector Machines
• Regression techniques (Linear/Polynomial)
• Utilizing Hadoop, Apache Spark, Kafka, and Apache Flink
• Setting up your coding environment with Conda, MiniConda, and Jupyter Notebooks
• Implementing GPU resources with Google Colab
• And much more!

By course completion, you will emerge as a fully-fledged data scientist capable of landing a role at any company you aspire to.

You’ll apply the skills learned to construct real-world projects such as a Heart Disease Detection App, Bulldozer Price Predictor, Dog Breed Image Classifier, and more.

By the end, you’ll have a portfolio brimming with tangible projects to showcase.

So, what's the gist?

Here's the reality: many courses touch on data science but stop short.

They might kickstart your journey but leave you unsure how to progress or build your projects independently.

Alternatively, they often drown you in code and complex equations without clear explanations, making it hard to tackle real-life machine learning challenges on your own.

Whether you're new to programming, aiming to refine your data science skills, or transitioning from another field, this course is designed for you.

This isn’t about churning out lines of code without understanding the core principles, only to leave you lost once the course concludes. No way!

This course will motivate and empower you to transform from a total novice to someone who can independently develop data science and machine learning workflows and secure your dream job 💪.

And there’s nothing to lose. You can start your learning journey today, and if the course doesn’t meet your expectations, you can request a full refund within 30 days. Simple as that.