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✅ In this video,
✔️ Class: 10th
✔️ Subject: Artificial Intelligence
✔️ Chapter: Data Science (Chapter 4)
✔️ Topic Name: Data Science - Full Chapter Explanation | Class 10 Artificial Intelligence Chapter 4 | 2022-23
✔️ Topics Covered In This Video : This video by Vardan Sir will provide detailed explanation of chapter 4 Data Science. In this video, he will discuss and explain all the important concepts, and will also provide helpful tips on how to answer them during the exams. The video will help students to prepare for their upcoming board exams and score better in the examination.
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00:00 Introduction: Data Science
00:40 Chapter overview of Data Science
13:22 AI Need Data
16:00 The data is everywhere
21:09 Three Domains Have Three Type of Data
53:28 Each Domain Has Its Own Type of Data
55:31 What is Data Science
01:03:20 Need of Data Science
01:07:57 Tools for Data Science
01:11:43 Application of Data Science
01:52:49 E-Commerce
02:23:58 Internet Search
02:38:04 Revisiting Al Project Cycle
03:00:19 Problem Statement Template
03:01:22 Goal
03:03:10 Data Acquisition
03:41:57 Recall Supervised Learning Algorithm
03:52:19 Evaluation
04:12:20 Pandas
04:22:57 Data Collection
04:40:07 Data Formats Used in Data Science
04:44:13 What is Numpy?
04:51:25 Why Is NumPy Faster Than Lists?
05:12:17 We Would Be Seeing the Following Things
06:02:40 Axis
06:04:41 1D Array
06:39:47 What is Pandas?
06:43:49 Where Is Pandas Codebase?
06:44:47 Getting Started With Pandas Library
07:13:11 Native Accessors
07:17:45 Indexing in pythons
07:23:05 Choosing Between loc & iloc:
07:58:50 Summary Functions
07:59:31 Maps
08:26:33 Dtypes
08:54:30 Replacing Values
08:54:40 Renaming
08:56:25 Combining
09:22:54 Basic Statistics With Python
09:25:18 Types
09:25:58 Measures of Central Tendency
09:34:11 Example of Mean and Median
09:38:04 Example of Mode
09:40:09 Measures of Variability
10:12:42 Data Visualisation
10:14:48 Erroneous Data
10:17:40 Missing Data
10:19:08 Outlier
10:24:34 Data Visualization Using Matplotlib
10:38:29 We Would Be
11:22:57 Scatter Plot
11:57:39 Box Plots
11:59:37 Uses of Box Plots
12:01:08 Different Parts of a Box Plot
12:33:48 What is Bar Chart?
12:38:28 Vertical Bar Graph
12:39:38 Horizontal Bar Graph
12:40:43 Grouped Bar Graph
13:24:42 Advantages and Disadvantages of Bar Chart:
13:24:59 What is Histogram?
13:30:06 Histogram
14:06:43 Difference Between Bar Graph and Histogram
14:14:07 Recall
14:16:14 Introduction to K-Nearest Neighbor (KNN) Algorithm
14:30:13 Advantage of KNN Algorithm
14:35:12 Application of KNN Algorithm
14:43:16 K-Nearest Neighbour (KNN)
14:43:46 K-Nearest Neighbour Is Both Supervised and Unsupervised
14:49:40 Working of K-Nearest Neighbour
15:08:14 Website Overview
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