Comprehensive 2-Hour Course on Statistics and Exploratory Data Analysis for Beginners
In this 2-hour course, we cover the fundamentals of Statistics and Exploratory Data Analysis for Machine Learning. β Download Course Material here π https://bit.ly/40nYX0O
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β
Download Course Material here π https://bit.ly/40nYX0O
In this 2-hour course, we cover the fundaments of Statistics and Exploratory Data Analysis for Machine Learning. It covers Hypothesis Generation, EDA & Statistics, Handling Missing Values, Evaluation Metrics, and Building First Predictive Model. Join us to learn the basics and get hands-on experience with real-world examples.
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Learning Roadmaps π₯
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1οΈβ£ Roadmap to become a Data Scientist π https://www.youtube.com/watch?v=KC9Z60Bu1Q4
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Sections π₯
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0:00:00 Hypothesis Generation
0:09:03 EDA & Data Insights
0:15:44 Descriptive & Inferential Statistics
0:22:44 Missing Values
0:41:28 Categorical Variables
0:49:34 Outliers
0:58:14 Build First Predictive Model
1:23:23 Confusion Matrix
1:40:44 Precision & Recall
1:53:10 AUC-ROC Curve
1:58:02 Log Loss
2:03:59 Types of Error
π₯ Free Learning Resources
- Machine Learning Full Course: https://youtu.be/Eg-oc39lrwY
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Published
Apr 25, 2023
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