Python Data Analysis Project: From Raw Data to Decision Tree
Dive into practical Python data analysis, guiding you from raw data manipulation to the mastery of decision trees
4.29 (19 reviews)
6 843
students
2.5 hours
content
Mar 2024
last update
$13.99
regular price
What you will learn
Data Processing and Importing: Learn to handle and import raw data efficiently using Python.
Exploratory Data Analysis (EDA): Master the art of exploratory data analysis, gaining insights into patterns, trends, and outliers within the data.
Data Splitting and Model Evaluation: Understand the importance of data splitting for model training and evaluation.
Hyperparameter Tuning: Explore techniques for optimizing model performance through hyperparameter tuning.
Decision Tree Theory and Implementation: Grasp the foundational concepts of decision trees in machine learning.
Graph Visualization and Decision Tree Interpretation: Install and utilize Graphviz for visualizing decision trees.
Real-World Project Application: Apply acquired skills in a real-world data science project.
Practical Python Coding Skills: Develop hands-on coding proficiency in Python, specifically tailored for data analysis and machine learning.
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5633200
udemy ID
29/10/2023
course created date
31/10/2023
course indexed date
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