Comprehensive 2-Hour Course on Statistics and Exploratory Data Analysis for Beginners

✅ Download Course Material here 🔗 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 🔥
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1️⃣ Roadmap to become a Data Scientist 🔗 https://www.youtube.com/watch?v=KC9Z60Bu1Q4
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Free Certification Courses 🔥
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2️⃣ SQL Full Course 🔗 https://youtu.be/_H4h-tWvuxs
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Sections 🔥
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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

🔥 Free Learning Resources
- Machine Learning Full Course: https://youtu.be/Eg-oc39lrwY
- Data Science Courses: https://www.youtube.com/playlist?list=PLdKd-j64gDcDi1L1TUt_yGitDMsQ-UeYJ
- Data Analysis Courses: https://www.youtube.com/playlist?list=PLdKd-j64gDcDbnQZeSBWumpT40nosLPDE
- Career in Data Tech: https://www.youtube.com/playlist?list=PLdKd-j64gDcAJs7dBLQ_DPzjdDEFNZUjj
- AI Trends in Data Science: https://www.youtube.com/playlist?list=PLdKd-j64gDcDt3WLLDPv7-v5u7ECibnXK