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
Current Price: Free
Discount: 100% off
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.