Machine Learning using Python - Learn Hands-On

Description:

Learn to use Python, the ideal programming language for Machine Learning, with this comprehensive course from Hands-On System. Python plays a important role in the adoption of Machine Learning (ML) in the business environment.

Now a day's Machine Learning is one of the most sought after skills in industry. After completion of this course students will understand and apply the concepts of machine learning and applied statistics for real world problems.

The topics we will be covering in this course are: Python libraries for data manipulation and visualization such as numpy, matplotlib and pandas. Linear Algebra, Exploratory Data Analysis, Linear Regression, Various Classification techniques, Clustering, Dimensionality reduction and Artificial Neural Networks.

This course is designed for Students who are pursuing bachelor's or master's degree in Statistics, Mathematics, Computer Science, Economics or any engineering fields. The students should have a little bit of knowledge in coding and undergraduate level mathematics.

Terminal competencies of the course, one would have learnt about tools to train machines based on real-world situations using Machine Learning algorithms, as well as to create complex algorithms and neural networks. During the latter stage of the course, learners will be introduced to real-world use cases of Machine Learning with Python for a Hands-On learning experience which would prepare them to create applications efficiently.

Basic knowledge:

Basic knowledge in math and statistics.

Software developers or programmers who want to transition into the lucrative data science and machine learning career path will learn a lot from this course. Technologists curious about how deep learning really works. Data analysts in the finance or other non-tech industries who want to transition into the tech industry can use this course to learn how to analyze data using code instead of tools. But, you'll need some prior experience in coding or scripting to be successful. If you have no prior coding or scripting experience, you should NOT take this course - yet. Go take an introductory Python course first.

Course Completion Certificate.

What will you learn:

• Linear Regression, SVR, Decision Tree Regression, Random Forest Regression
• Polynomial Regression
• Logistic Regression
• K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification
• Random Forest Classification
• Clustering: K-Means, Hierarchical Clustering
• Data Visualization in Python with MatPlotLib and Seaborn
• Dimensionality Reduction - PCA, PCA sklearn
• Supervised Learning & Unsupervised Learning
• Support Vector Machine
• Curse of Dimensionality
• Neural Networks

Simpliv LLC, a platform for learning and teaching online courses. We basically focus on online learning which helps to learn business concepts, software technology to develop personal and professional goals through video library by recognized industry experts or trainers.

Why Simpliv

With the ever-evolving industry trends, there is a constant need of the professionally designed learning solutions that deliver key innovations on time and on a budget to achieve long-term success.

Simpliv understands the changing needs and allows the global learners to evaluate their technical abilities by aligning the learnings to key business objectives in order to fill the skills gaps that exist in the various business areas including IT, Marketing, Business Development, and much more.