Complete Machine Learning and Data Science Zero to Mastery in 2024

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  • Post last modified:June 27, 2024
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Complete Machine Learning : Join our vibrant community of over 900,000 engineers and learn from industry experts who have worked in leading companies in Silicon Valley and Toronto.

Our graduates now work at top tech companies like Google, Tesla, Amazon, Apple, IBM, JP Morgan, Meta, and more. This course will take you from zero to mastery in AI, Data Science, and Machine Learning.

Requirements Complete Machine Learning

  • No Prior Experience Needed: This course is designed for absolute beginners. No background in Math or Statistics is required.
  • A Computer with Internet Access: You can use Linux, Windows, or Mac.
  • Two Learning Paths: The course accommodates both those who know programming and those who don’t.
  • Free Tools: All tools used in this course are free.

Why This Course?

  • Modern and Up-to-Date: Learn using the latest version of Python, TensorFlow 2.0, and other modern libraries.
  • Efficiency Focused: Avoid outdated and confusing tutorials with our comprehensive and current content.
  • Project-Based Learning: Build real-world projects to enhance your portfolio. Access all course materials, including code, workbooks, and templates, on GitHub.

What You Will Learn:

  • Data Science Fundamentals: From Data Exploration and Visualizations to advanced Neural Networks and Deep Learning.
  • Hands-On Projects: Create professional projects like Heart Disease Detection, Bulldozer Price Predictor, and Dog Breed Image Classifier.
  • Comprehensive Curriculum: Covers Python, TensorFlow, Numpy, Scikit-Learn, and more. Learn through hands-on practice and real-life examples.

Course Structure:

  • Beginner-Friendly: Start with the basics of Python and Machine Learning 101.
  • Advanced Topics: Progress to Neural Networks, Deep Learning, and Transfer Learning.
  • Two Tracks: For those who know programming, skip the Python basics and dive right into advanced topics.

Topics Covered:

  • Data Exploration and Visualizations
  • Neural Networks and Deep Learning
  • Model Evaluation and Analysis
  • Python 3
  • TensorFlow 2.0
  • Numpy
  • Scikit-Learn
  • Data Visualization with Matplotlib and Seaborn
  • Transfer Learning
  • Image Recognition and Classification
  • Supervised Learning: Classification, Regression, Time Series
  • Decision Trees and Random Forests
  • Ensemble Learning
  • Hyperparameter Tuning
  • Pandas Data Frames and CSV Handling
  • Deep Learning with TensorFlow 2.0 and Keras
  • Kaggle Competitions
  • Data Cleaning and Preparation
  • K Nearest Neighbours
  • Support Vector Machines
  • Regression Analysis
  • Hadoop, Apache Spark, Kafka, and Apache Flink
  • Environment Setup with Conda, MiniConda, and Jupyter Notebooks
  • Using GPUs with Google Colab

Who This Course Is For:

  • Beginners: Anyone with zero experience in Machine Learning, Data Science, or Python.
  • Programmers: Those who want to extend their skills to Data Science and Machine Learning.
  • Professionals: Individuals seeking to learn from industry experts and apply these skills in their careers.

Instructors

Daniel Bourke:

A self-taught Machine Learning Engineer with experience in healthcare, eCommerce, finance, and retail. Notable projects include building models for extracting information from doctor’s notes and assessing insurance claims. Daniel is dedicated to making complex topics accessible and enjoyable.

Andrei Neagoie:

A senior software developer with experience in Silicon Valley and Toronto. Andrei’s graduates work at top tech companies worldwide. He focuses on teaching real-life skills through comprehensive, well-structured courses.

What You Will Achieve:

  • Master Data Science and Machine Learning: Gain the skills needed to get hired at top companies.
  • Deep Learning Proficiency: Learn and apply advanced concepts like Neural Networks and Transfer Learning.
  • Build a Portfolio: Develop and showcase real-world projects.
  • Industry-Relevant Skills: Use tools and techniques employed by tech giants like Google, Apple, Amazon, and Meta.
  • Confidence in Your Skills: Move from tutorials to creating your own projects and solving real-life problems.

Enroll now and start your journey to becoming a Data Scientist and Machine Learning expert! We guarantee this course offers more value than any bootcamp or online course available.

See you inside the course!

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