Upskill With Fundamentals Of ML From Ground Up!

This course is a one-stop solution for understanding ML along with supervised & unsupervised learning. It covers some of the most effective machine learning techniques, their implementation & applications as per the projects. More importantly, you’ll not only get insights into the theoretical underpinnings of learning but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.

By just putting in a few hours a week for the next few weeks, you’ll:

• Learn new skills such as regression, classification, clustering, sci-kit learn, and SciPy.
• Build new projects that you can add to your portfolio, including cancer detection, predicting customer churn, and many more.
• Get a certificate in machine learning to prove your competency and can be shared over your LinkedIn profile or any other social media platforms.

Importance Of Machine Learning & Python?

• AI & Machine Learning is expected to create 2.3 million jobs in 2020 alone.
• The AI ML market is expected to grow to 8.8 billion by the end of 2020.
• Python is the most used programming language for AI ML in the world.
• The salary range for experts varies between $125,000 to $175,000 per year.

How This Course Can Help You?

It is an exclusive course design for everyone who does not have extensive knowledge of AI ML but wants to master advanced Machine Learning concepts for a career. It unfolds with the basic introduction to ML which is then followed by various ML algorithms. It teaches you fundamental & advanced concepts of ML along with data science. You will also learn to build a predictive model & interpret the results. Creating other powerful ML models & their applications are also included along with unsupervised learning, dimensionality reduction, K-Means clustering & other crucial concepts.

Major Topics That You Will Learn

• Machine Learning Algorithms
• Predictive Modelling
• Linear Regression
• Logistic Regression
• Decision Trees
• Ensemble Algorithms
• Random Forest
• Dimensionality Reduction
• Principal Component Analysis
• Clustering with K-Means

Get started with this course today to join this exciting & growing field by learning Advanced ML Algorithms & Data Science!