Machine Learning Course

There is an increasing demand for skilled machine learning engineers across all industries. We recommend this Machine Learning training course for the following professionals.

The primary purpose of machine learning is to discover patterns in the user data and then make predictions based on these and intricate patterns for answering business questions and solving business problems. Machine learning helps in analysing the data as well as identifying trends.

Syllabus:

• Basic Libraries
•  Python Pandas
• Python NumPy
• Python Matplotlib
• Python Seaborn
• Data Analytics with Python using Pandas, Seaborn, and Matplotlib Capstone Projects
• Machine Learning
• Introduction to Machine Learning
•  Data is the Key Ingredient
• Algorithms are the Recipes
• Model is the Dish
• Training and Learning
• Testing and Validation
• Types of Machine Learning:
•  Supervised Machine Learning
• Unsupervised Machine Learning
• Supervised Machine Learning
• Types of Supervised Learning
•  Regression
• Classification
• Regression Algorithms
•  Linear Regression
• Multiple Linear Regression
• Polynomial Regression
• Classification Algorithms
•  Logistic Regression
• Support Vector Machine
• Decision Trees
• Random Forest
• Naive Bayes
• K Nearest Neighbors
• Deep Learning
•  Tensorflow with Keras API
• Basics of Neural Network
• Artificial Neural Network (ANN)
• Convolutional Neural Network (CNN)
• Recurrent Neural Network (RNN)
• Image Processing with OpenCV
• Natural Language Processing