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

ZeroToMastery – Complete A.I. Machine Learning and Data Science Zero to Mastery
English | Tutorial | Size: 10.48 GB


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.

You’ll learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence), Python, Python with Tensorflow, Pandas & more!

What you’ll learn

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 how 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

Machine Learning has applications in almost every industry and is becoming more widely used every single year.

Marketing
Finance
Healthcare and Patient Diagnosis
Cybersecurity
Retail
Transportation and Logistics
Agriculture
Internet of Things
Gaming and Entertainment
Fraud Detection
Anomaly Detection in Manufacturing
Government
Academia/Research
Recommendation Systems
Sports (every heard of Moneyball?!)

And so many more. It’s everywhere. The skills you’ll learn in this course can be applied to all of these industries and give you a lot of options for your career.

Graduates of Zero To Mastery are now working at Google, Tesla, Amazon, Apple, IBM, Uber, Facebook, Shopify + other top tech companies.

They are also working as top freelancers getting paid while working remotely around the world.

This can be you.

By enrolling today, you’ll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors.

Most importantly, you will learn data science and machine learning from industry experts that have actual real-world experience having worked for top companies in Silicon Valley, Toronto and Australia.

This course is focused on efficiency so that you never have to waste your time on confusing, out of date or incomplete Machine Learning tutorials anymore.

This comprehensive and project-based course will introduce you to all of the modern skills of a Data Scientist and along the way, you will build many real-world projects to add to your portfolio.

You will also get access to all the code, workbooks and templates (Jupyter Notebooks) on Github, so that you can put them on your portfolio right away!

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 are actually looking for.

The curriculum is very hands-on as we walk you from start to finish of becoming a professional Machine Learning Engineer or Data Scientist.
The course covers 2 tracks:

1️⃣ Programmer: If you already know programming, you can dive right in and skip the section where we teach you Python from scratch.

2️⃣ No Programming Experience: If you’re a complete beginner, not to worry. We take you from the very beginning and teach you Python from scratch and how to use it in our real world projects.

Don’t worry, you will also be going way beyond the basics.

Once we make sure you know the basics like Machine Learning 101 and Python, we dive deep 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.

You will get experience with full-fledged Data Science and Machine Learning projects and access to bonus programming resources and cheatsheets.
The topics you’ll learn in this Data Science & Machine Learning Bootcamp are:

Data Exploration and Visualizations
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 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 any company you can imagine.

You are going to use everything you learn in this course to build professional real-world projects like a Heart Disease Detection App, 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.

Buy Long-term Premium Accounts To Support Me & Max Speed

DOWNLOAD:

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