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The First Course in a Series for Mastering Python for Machine Learning Engineers
An excellent training about Data Science
The Complete Python Course for Machine Learning Engineers
COURSEREVIEWSThis is the best hands-on online class I have ever taken. Very clear instructions. – Donato I took a few of your courses and you are an amazing teacher. Your courses have brought me up to speed on how to create databases and how to interact and handle Data Engineers and Data Scientists. I will be forever grateful. -TonyBy taking this course my perception has changed and now data science for me is more about data wrangling. Thank you, Mike:) -ArchitI have now finished the first one, The complete python course and I have found it extremely structured and clear. I really thank you for your efforts in making these videos. I will now move on to Pandas. I am also looking out for jobs in order to start my career in this exciting field. – Gurukiran AI am really thankful to the instructor for creating such a nice and interactive course, thanks again. – ArunThis course does a good job in introducing machine learning in Python. – VivekLesson are small, interactive, to the point and knowledge base. -SanjayNice course on python programming & intro to libraries. – SindhuraYes. Accurate match for immediate requirements. Thank you! Looking forward to continuation courses. – GregoryThis course was very informative. Taught me about the open source models on which Machine Learning can be practiced. Kudos to the author. Great Job! – MeharPerfect explaining and perfect length, not too long explanations – HenrikI loved the short format of the course. While that is a great thing there are some area which could have been a little longer. Overall, a very good course. – RaymondReally well done! With this course the programming language itself can be learnt unrelated to any computational task. – GiovanniThe hands on examples made learning very easy. I learned a lot about Python and Machine Learning at the same time. I would totally recommend for beginners. – LumiSimple and easy to understand! -PavanClear and easy to follow and understand the topic. – DennisCOURSEOVERVIEWWelcome toThe Complete Course for Machine Learning Engineers. This series of courses is the only real world path to attaining a job as a machine learning engineer. Machine learning engineers don’t build models every day. If you want to work in the real world then focus on learning Python. That’s what this course is. Python! This is the first course in a series of courses designed to prepare you for a real-world career as a machine learning engineer.I’ll keep this updated and list only the courses that are live. Here is a list of the courses that can be taken right now. Please take them in order. The knowledge builds from course to course. The Complete Python Course for Machine Learning Engineers (This one)Data Wrangling in Pandas for Machine Learning EngineersData Visualization in Python for Machine Learning EngineersSciKit-Learn in Python for Machine Learning Engineers (NEW)In this course we are going to learn Python using a lab integrated approach. Programming is something you have to do in order to master it. You can’t read about Python and expect to learnit. If you take this course from start to finish you’ll know the core foundations of Python, you’ll understand the very basics of data cleansing and lastly you’ll build a traditional machine learning model and a deep learning model. While the course is centered on learning the basics of Python you’ll get to see how data cleansing is applied to a data set and how a traditional machine learning model and a deep learning model are built. This course is an applied course on machine learning. Here’ are a few itemsyou’ll learn: Python basics from A-ZLab integrated. Please don’t justwatch. Learning is an interactive event. Go over every lab in detail. Real world Interviews QuestionsData Wrangling overview. What is it?Pay attention to the basics, it’s what you’ll be doing most of your time. Build a basic model build in SciKit-Learn. We call these traditional models to distinguish themfrom deep learning models. Build a basic Keras model. Keras is becoming the go to Python library for building deep learning models. If you’re new to programming or machine learning you might ask, why would I want to learn Python?Python has become the gold standard for building machine learning models in the applied space. The term “applied’simply means the real world. Machine learningis a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomeswithout being explicitly programmed. The key part of that definition is without being explicitly programmed. If you’re interested in working as a machine learning engineer, data engineeror data scientistthen you’ll have to know Python. The good news is that Python is a high level language. That means it was designed with ease of learning in mind. It’s very user friendly and has a lot of applications outside of the ones we are interested in. InThe Complete Course for Machine Learning Engineerswe are going to start with the basics. You’ll learn how to install Python all the way through building a simple
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