Open Source/Machine Learning with Python

Course Prerequisites

The Machine Learning with Python training course teaches students the basics of machine learning using Python. The course introduces students to data exploration and allows them to discover a wide variety of machine learning approaches, including supervised learning, unsupervised learning, regression, classifications and more.

The Machine Learning with Python course also encourages students to practice visualizing data using Python and built-in libraries, including Pandas, Matplotlib and Scikit.

Key Features of Machine Learning with Python Certification Training Course

• 5-day Instructor-led Machine Learning with Python Training
• Get free access to 1-hour Machine Learning with Python course preview to better prepare for the training
• Accredited Machine Learning with Python course material prepared by SMEs
• Expert Machine Learning instructors across the globe
• Get hands-on experience through Machine Learning with Python lab sessions
• Widely acknowledged Machine Learning with Python Course Completion certificate provided
• Machine Learning with Python training provided across 100+ locations globally

Who can take up Machine Learning with Python Training?

Individuals who can take up Machine Learning with Python online training include, but are not limited to:

• IT Professionals
• Technical Leads
• Programmers
• Software Developers
• Machine Learning Engineers
• Python Professionals
• Business Analysts
• Information Architects
• Analytics Managers
• Professionals looking to gain a thorough understanding of the Machine Learning with Python

Learning Objectives of Machine Learning with Python Training

This Machine Learning with Python course consists of eight modules with interlacing practical labs. The labs offer participants the opportunity to practically demonstrate the information shared over the training. The modules explored are;

• Statistical Learning
• Python for Machine Learning
• Introduction to Machine Learning
• Optimisation
• Supervised Learning
• Unsupervised Learning
• Ensemble Techniques
• Recommendation Systems

Upon completion of this Machine Learning with Python online course, professionals are equipped with a number of skills, including;

• Building python programs including distribution, user-defined functions, importing datasets and more
• Manipulating and analyzing data using the Pandas library
• Visualizing data with Python libraries: Matplotlib, Seaborn and ggplot
• Building data distribution models: variance, standard deviation, interquartile range
• Calculating conditional probability via Hypothesis Testing
• Performing analysis of variance (ANOVA)
• Building linear regression models, evaluating model parameters and measuring performance metrics
• Using Dimensionality Reduction
• Building logical regression models, evaluating model parameters and measuring performance metrics
• Performing K-means clustering and hierarchical clustering
• Building KNN algorithm models to find the optimum value of K
• Building decision tree models for both regression and classification problems
• Using ensemble techniques like averaging, weighted averaging and max voting
• Using techniques of bootstrap sampling, bagging and boosting
• Building random forest models
• Finding the optimum number of components/factors using scree plot and one-eigenvalue criterion
• Performing PCA/Factor Analysis
• Building appropriate algorithms with key metrics like support, confidence and lift
• Building recommendation engines using UBCF and IBCF

Benefits of taking up Machine Learning with Python Training

• Completing this Machine Learning with Python certification allows prospective employers to distinguish between qualified professionals and others.
• The Machine Learning with Python certification validates an individual's skills giving them access to better starting salaries, better job benefits, better opportunities for career advancement and more versatile responsibilities in comparison to their non-certified counterparts.
• The average salary of Machine Learning with Python certified professionals is in the range of USD 77,000 to USD 152,000 per annum.

Machine Learning with Python Exam Format

While there is no examination linked directly to this course, there are a number of examinations available on the market for students to validate their machine learning with python abilities.

An entry-level examination students can use to validate their python skills is offered by Microsoft. The 98-381: Introduction to Programming using Python could be a great way to demonstrate your skills with the python language to accompany the certificate offered after finishing the training.

There are a few examinations focussing on machine learning with Python. One variant consists of 126 questions to be completed over three hours. These examinations are often offered at a more intermediate level rather than entry-level like this course.