Machine Learning Training

Machine Learning is one of the fastest evolving fields, it involves different algorithms which businesses can utilize for developing their projects. Machine learning algorithms are implemented using various languages such as C, C++, JavaScript, R, and Python.

Machine Learning (ML) is expected to bring heavy changes to the world of technology. Machine learning is a subfield of artificial intelligence and computer science that allows software applications to be more accurate in predicting results.

This course will help you Master Machine Learning in Python. One of the best parts about our Machine Learning course is that The topics covered in the course include supervised learning, best practices, you also get to encounter numerous case studies and applications among a host of other things

With a broad overview of the discipline’s most common techniques and applications, you’ll gain more insight into the assessment and training of different machine learning models.

Content:

• 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
• Algorithms
• K-Means Clustering
• Logistic Regression, Linear Regression
• Random Forest and Decision Trees
• Natural Language Processing and Spam Filters
• Neural Networks
• Support Vector Machines