
Complete A.I. Machine Learning and Data Science: Zero to ...
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.
Complete A.I. & Machine Learning, Data Science Bootcamp
Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!
How to Become a Data Scientist & Get Hired | Zero To Mastery
Master Data Science by turnning raw data into powerful insights using Python, SQL & machine learning. Learn statistical analysis, data visualization & predictive modeling. Build a portfolio with real-world projects and become a key player in a company's data-driven decisions.
Expert-Led Courses | Learn New Skills, Get Hired, Advance ...
Complete A.I. Machine Learning and Data Science: Zero to Mastery. 45 Hours • 390 Lessons. Learn Machine Learning (Artificial Intelligence), Python, Data Science, Data Analysis, Tensorflow, Pandas & more. All using the latest in AI!
Complete Machine Learning & Data Science Course by ZTM
Welcome to the Learning repository of the Complete Machine Learning & Data Science course by Zero to Mastery (ZTM). This repository contains all the code and notes of the course, providing myself with a comprehensive resource to learn, explore and Revise the exciting fields of Data Science and Machine Learning. 👨💻
GitHub - mrdbourke/zero-to-mastery-ml: All course materials ...
Sep 12, 2024 · In this project we'll work with an open-source dataset of bulldozer sales information. We'll use this data to build a machine learning model capable of predicting the sales price of a bulldozer based on several input parameters such as size and brand.
How the ZTM Data Science and Machine Learning Bootcamp ...
Jun 7, 2024 · **Data Exploration and Visualization**: Utilizing tools like Matplotlib and Seaborn to analyze and visualize data. Machine Learning Algorithms: Mastering various algorithms, from supervised learning (classification, regression) to ensemble methods and hyperparameter tuning.