Machine learning with Python course gives a brief introduction of the course to the learner about applied machine learning. It is a unique curriculum which keeping in focus the techniques and methods rather than just the statistics behind these methods.
The course gives an in-depth understanding on the unique of machine language than descriptive statistics and further discusses the dimensionality of data. Learners will be enabled to apply the Scikit, learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting).
The Python course will terminate, giving glimpses of more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of which, learners will be able to catch the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique needs to be applied for a particular data, build features to meet that need, and write python code to proceed analysis. This Business Intelligence and Analytics certification will provide for the access to all of the features and information you need to earn a Course Certificate.
For whom is the Python course for?
This applied course is exclusively for learners who have basic python or programming background, and want to further pursue statistics.
Basic-level statistics knowledge is expected, as the first few lessons contains a recap of these basic concepts. As there are no geographic restrictions, learners with a formal training in Computer Science but not in data science will still find the skills they are seeking through the Python course.
Web developers will have an edge over the other available programmers through this course. Python helps the data analysts from different industries, both tech and finance, to transition in this tech-world, using code instead of tools. But provided, you need basic experience in coding or scripting to get where you want to and be successful.
Why Take This Course?
This course enables Business Intelligence and Analytics certification, through which brings machine learning to life by demonstrating you the interesting uses, cases and the ability to tackle fascinating real-time issues like self-driving cars.
In the Machine learning with Python course, you’ll be efficient enough to analyse data using the various techniques, which will get you running on your machine learning journey by teaching you the functions of different tools, such as pre-written algorithms and libraries, to answer interesting questions.
What will you benefit from the course?
- Developing and using iPython notebooks
- Understanding statistical measures
- Visualizing data distributions, probability mass functions, and density functions
- Using theorems like Bayes’ Theorem for the identification of false positives
- Formulating predictions using linear regression, polynomial regression, and multivariate regression