"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." "By taking this course my perception has changed and now data science for me is more about data wrangling. Welcome to The Complete Course for Machine Learning Engineers.
This is the fourth course in the series designed to prepare you for a real world job in the machine learning space. I'd highly recommend you take the courses serially. People love building models and many think that machine learning engineers sit around and build models all day. Take the courses in order to understand what machine learning engineers really do. In this course we are going to learn SciKit-Learn using a lab integrated approach.
By now, you will have already learned that NumPy, one of the fundamental packages for scientific computing, forms at least for a part the fundament of other important packages that you might use used for data manipulation and machine learning with Python. One of those packages is SciPy, another one of the core packages for scientific computing in Python that provides mathematical algorithms and convenience functions built on the NumPy extension of Python. You might now wonder why this library might come in handy for data science. Well, SciPy has many modules that will help you to understand some of the basic components that you need to master when you're learning data science, namely, math, stats and machine learning. You can find out what other things you need to tackle to learn data science here.
At Mawson, we partner with exceptionally talented founders to build AI startups that redefine industries. We are always on the lookout for outstanding technical talent and entrepreneurs, who like us at Mawson, believe building companies is not a job, but a way of life. If you're curious about what the journey of a Machine Learning Engineer at Mawson is like, we invite you to step into the shoes of one as you continue to read on… Congratulations, welcome to the Mawson family, where you've joined the team along with several other new Machine Learning Engineers. The fact that you've made it this far already is an achievement, as we've specifically selected individuals who are exceptional in Math and Programming. Our journey starts by advancing your Deep Learning skills.
In the two previous Kaggle tutorials, you learned all about how to get your data in a form to build your first machine learning model, using Exploratory Data Analysis and baseline machine learning models. Next, you successfully managed to build your first machine learning model, a decision tree classifier. You submitted all these models to Kaggle and interpreted their accuracy.