1
2541
Solve complex business problems by developing high-performance machine learning models with scikit-learn, Keras and Pytorch. This course gets you fully set in less than 12 months to take on a role as a machine learning engineer in the industry. Using real-world use cases, tons of examples, and exercises, this course steadily builds your skills from the ground up to a full-functioning expert.
Become a Machine Learning Engineer!Â
Solve complex business problems by developing high-performance machine learning models with Scikit-learn, Keras, and PyTorch. This course gets you fully set in less than 12 months to take on a role as a machine learning engineer in the industry. Using real-world use cases, tons of examples, and exercises, this course steadily builds your skills from the ground up to a full-functioning expert.- Understand Algorithms and how they work
- Learn about Supervised and Unsupervised Learning Techniques
- Learn about artificial neural networks using sci-kit-learn and how to improve their performance by fine-tuning hyperparameters
- Build end-to-end machine learning models that solve real-world problems
- Learn how to compare models, optimize performance, and select the best model for the job
- Get the skills required to start programming your own machine-learning algorithms
- Gain knowledge of the Keras and Pytorch modeling libraries
Course Requirements
A background in the sciences/STEM. Students should have taken classes in Math, Probability/Statistics. Completion of the OneCampus Data Science Professional program is also acceptedCourse Description
Solve complex business problems by developing high-performance machine learning models with Scikit-learn, Keras, and PyTorch. This course gets you fully set in less than 12 months to take on a role as a machine learning engineer in the industry. Using real-world use cases, tons of examples, and exercises, this course steadily builds your skills from the ground up to a full-functioning expert.
You will learn to leverage sci-kit-learn's flexibility and power to start programming machine-learning algorithms and acquire the skills you need to use machine learning-to solve real-world problems.
This program is covered 100% by a GATIP Scholarship.
Program Benefits
The OneCampus Machine Learning Professional program is a beginner' course. Participants will work through a series of topics, skill-building exercises, and projects to attain an intermediate skill level in Machine Learning. Some of the outcomes participants can expect from this course are:- Understand how to select an algorithm that best fits your dataset and the desired outcome
- Explore popular real-world algorithms such as K-means, Mean-Shift, and DBSCAN
- Discover different approaches to solving machine learning classification problems
- Develop neural network structures using the sci-kit-learn package
- Use the NN algorithm to create models for predicting future outcomes
- Perform error analysis to improve your model's performance
Course Currilcum
Course Instructors
