Courses Details

• Lectures 34
• Quizzes 4
• Duration 68 hours
• Skill level Beginner to Advance
• Language English
• Students 12
• Assessments Yes

Course Description

At a very high level, machine learning is the process of teaching a computer system how to make accurate predictions when fed data. Those predictions could be answering whether a piece of fruit in a photo is a banana or an apple, spotting people crossing the road in front of a self-driving car, whether the use of the word book in a sentence relates to a paperback or a hotel reservation, whether an email is spam, or recognizing speech accurately enough to generate captions for a YouTube video.

Certification

Earning Machine Learning Certifications will: Help you position yourself with validation that you posses the full skill set and knowledge to be a Professional . Boost your confidence in your expertise at the forefront of technology. Earn you more credibility, help you perform better in your daily job, and lead your team and company forward.

Learning Outcomes

• Use Python for Data Science and Machine Learning
• Use Spark for Big Data Analysis
• Implement Machine Learning Algorithms
• Learn to use NumPy for Numerical Data
• Learn to use Pandas for Data Analysis
• Learn to use Matplotlib for Python Plotting
• Learn to use Seaborn for statistical plots
• Use Plotly for interactive dynamic visualizations
• Use SciKit-Learn for Machine Learning Tasks
• K-Means Clustering
• Logistic Regression
• Logistic Regression
• Natural Language Processing and Spam Filters
• Neural Networks
• Random Forest and Decision Trees
• Support Vector Machines