
What you’ll learn
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Data Processing and Importing: Learn to handle and import raw data efficiently using Python.
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Exploratory Data Analysis (EDA): Master the art of exploratory data analysis, gaining insights into patterns, trends, and outliers within the data.
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Data Splitting and Model Evaluation: Understand the importance of data splitting for model training and evaluation.
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Hyperparameter Tuning: Explore techniques for optimizing model performance through hyperparameter tuning.
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Decision Tree Theory and Implementation: Grasp the foundational concepts of decision trees in machine learning.
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Graph Visualization and Decision Tree Interpretation: Install and utilize Graphviz for visualizing decision trees.
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Real-World Project Application: Apply acquired skills in a real-world data science project.
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Practical Python Coding Skills: Develop hands-on coding proficiency in Python, specifically tailored for data analysis and machine learning.
Can I download Python Data Analysis Project: From Raw Data to Decision Tree course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Python Data Analysis Project: From Raw Data to Decision Tree course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.