Complete Machine Learning and Data Science: Zero to Mastery (Udemy.com)

Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!

( 0 Reviews )

Created by: Andrei Neagoie

Produced in 2021

What you will learn

Become a Data Scientist and get hired
Master Machine Learning and use it on the job
Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0
Use modern tools that big tech companies like Google, Apple, Amazon and Facebook use
Present Data Science projects to management and stakeholders
Learn which Machine Learning model to choose for each type of problem
Real life case studies and projects to understand how things are done in the real world
Learn best practices when it comes to Data Science Workflow
Implement Machine Learning algorithms
Learn how to program in Python using the latest Python 3
How to improve your Machine Learning Models
Learn to pre process data, clean data, and analyze large data.
Build a portfolio of work to have on your resume
Developer Environment setup for Data Science and Machine Learning
Supervised and Unsupervised L

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 0 / 100

Course Description

This is a brand new Machine Learning and Data Science course just launched this year and updated this month with the latest trends and skills! Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 350,000+ engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andreis courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, + 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 on Udemy (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 This course is focused on efficiency: never spend time on confusing, out of date, incomplete Machine Learning tutorials anymore. We are pretty 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 then 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 show you fully 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- 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 PandasData Frames to solve complex tasks- Use Pandasto 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 VectorMachines- 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 ColabBy 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.
Heres the truth: Most courses teach you DataScience and do just that. They show you how to get started. But the thing is, you dont know where to go from there or how to build your own projects. Or they 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, or 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 dont 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 statements like Artificial Neural Network, or Artificial Intelligence (AI), and by the end of this course, you will finally understand what these mean!
Click Enroll Now and join others in our community to get a leg up in the industry, and learn Data Scientist and Machine Learning. We guarantee this is better than any bootcamp or online course out there on the topic. See you inside the course!
Taught By:
AndreiNeagoie is the instructor of the highest rated Development courses on Udemy as well asone of the fastestgrowing.
His graduates havemovedon to work forsome of the biggest techcompanies around the world like Apple, Google, Amazon, JP Morgan, IBM, UNIQLO etc...
Hehasbeen working as a senior software developer inSilicon Valley and Toronto for many years,andis now taking all that he has learned,to teachprogramming skills andto help youdiscover the amazing career opportunities that being a developer allows inlife.
Having beena self taught programmer,he understands that there is anoverwhelming number of online courses, tutorials and booksthat are overly verbose and inadequate at teaching proper skills.
Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp.
Programming skills should be affordable and open to all. An education materialshould teach real life skills that are current andthey should not waste a student's valuable time. Having learned importantlessons from working for Fortune 500 companies, tech startups, to evenfounding his own business, he is now dedicating 100% of his time toteaching others valuablesoftware development skillsin order to take control of their life and work in an

Time: 42.5h

Instructor Details

Andrei Neagoie

0.0 Rating
0 Reviews

Andrei is the instructor of the highest rated Development courses on Udemy as well asone of the fastestgrowing.His graduates havemovedon to work forsome of the biggest techcompanies around the world like Apple, Google, Tesla, Amazon, JP Morgan, IBM, UNIQLO etc...Hehasbeen working as a senior software developer inSilicon Valley and Toronto for many years,andis now taking all that he has learned,to teachprogramming skills andto help youdiscover the amazing career opportunities that being a developer allows inlife.
Having beena self taught programmer,he understands that there is anoverwhelming number of online courses, tutorials and booksthat are overly verbose and inadequate at teaching proper skills.Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp.Programming skills should be affordable and open to all. An education materialshould teach real life skills that are current andthey should not waste a student's valuable time. Having learned importantlessons from working for Fortune 500 companies, tech startups, to evenfounding his own business, he is now dedicating 100% of his time toteaching others valuablesoftware development skillsin order to take control of their life and work in an exciting industry with infinite possibilities.
Andrei promises you that there are no other courses out there as comprehensive and as we