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. ✅ Download Course Material here 🔗 https://bit.ly/40nYX0O

Analytics Vidhya12.5K views02:13:26

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✅ 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. --------------------------------------------- Become a full-stack Data Scientist 🔥 --------------------------------------------- Enroll in our Certified AI & ML BlackBelt Plus Program 🔗 https://bit.ly/40Aa71g - with 50+ Industry Projects - 1:1 Mentorship Sessions - Personalised Learning Path - Dedicated Interview Preparation & Placement Support --------------------------------------------- Learning Roadmaps 🔥 --------------------------------------------- 1️⃣ Roadmap to become a Data Scientist 🔗 https://www.youtube.com/watch?v=KC9Z60Bu1Q4 2️⃣ Roadmap to become a Data Analyst 🔗 https://www.youtube.com/watch?v=1YNOf3XTjbY 3️⃣ Roadmap to become a Data Engineer 🔗 https://www.youtube.com/watch?v=SiuS5O724aE --------------------------------------------- Free Certification Courses 🔥 --------------------------------------------- 1️⃣ Python Full Course 🔗 https://youtu.be/6sLkF-F9Oh0 2️⃣ SQL Full Course 🔗 https://youtu.be/_H4h-tWvuxs 3️⃣ Excel Full Course 🔗 https://youtu.be/MMQJ-ySgGn0 4️⃣ Statistics Full Course 🔗 https://youtu.be/a1gPiOs6v0A For more such in-depth FREE Courses, subscribe to our channel: https://www.youtube.com/c/Analyticsvidhya ------------------ Sections 🔥 ------------------ 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
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02:13:26

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Published
Apr 25, 2023

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