Machine Learning in Data Science Project using Python
Description
Thoroughly updated using the latest Python open-source libraries for data analysis and machine learning, this course offers the practical knowledge and techniques you need to perform predictive analytic project using machine learning.
Garis Besar Pelatihan
• Data science Overview
• Machine learning concept
• Learning types and Popular Algorithm
• Machine learning approach: sample case
• Data cleaning
• Handling missing data
• Detecting outlier data
• Data restructuring
• Data frame indexing, Converting data type
• Change categorical data using encoding
• Dataset, feature, and class label (target)
• Split dataset into training data and testing data
• Selecting and Scaling Features
• Classification model approach, Logistic regression
• Evaluating classification model
• Feature analysis for classification model
• Imbalance data problem
• Scaling dataset for better classification result
• Feature analysis: correlation analysis
• Regression model approach, Simple linear regression
• Performance metric for regression model
• Polynomial Feature
• Decision tree and random forest algorithm
• Comparing Performance Result
• Clustering model approach
• K-means clustering
• Evaluating clustering model
• Choosing the best k-value
• Visualizing clustering model
Prerequisites
Skill, or experience, in the following is required for this class:
• Fundamental Python for Data science (Data Analysis) Task
Machine Learning in Data Science Project using Python
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🖥️ Data Science
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🔰 Level: Beginner - Intermediate
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🌎 Bahasa: Indonesia
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📜 Sertifikat: E-Sertifikat
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💻 Akses: e-Learning
