Description
What is Machine Learning
Application of Machine Learning
About Data in Dataset
Types of Data in Datasets
Machine Learning Life Cycle
Types of Learning
Supervised Learning
Unsupervised Learning
Python Libraries Required for Machine Learning
• NumPy: Handle the Linear Algebra Operations
• Pandas: Data Manipulation Machine Learning
• Matplotlib and Seaborn: Exploratory Data Analysis and Data Visualization
• Sklearn
Data Pre-processing
Regression
Regression Performance Metrics
Classification
Classification Performance Metrics
Clustering
Projects Based on Machine Learning
Key Features:
Training Type: Online Live Interactive Session.
Experienced Faculty.
1 ON 1 Sessions
Duration 30 Hours
Access to Class Recordings.
Weekday / Weekend Classes.
Start Date: Monday, April 3, 2023
Morning Schedule:
Weekly 2 Days / Week
Time: 11:00 AM – 12:30 PM EST
Evening Schedule:
Weekly 2 Days / Week
Time: 8:30 PM – 10:00 PM EST
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