Includes
09:28:12 Hours On demand videos
101 Lessons
Full lifetime access
Access on mobile and tv
Requirements
Python Core , Django Knowledge
₹15000
What will i learn
-
Flask Installation
00:05:05
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Message Printing
00:02:17
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Page Redirection
00:01:39
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Variable
00:05:42
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Template Flask
00:03:22
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DebugMode
00:03:23
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Value Passing
00:03:46
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Conditional in Templates
00:00:00
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Loops In variable
00:04:38
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Object Rendering
00:05:43
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Bootstrap Using Flask
00:03:46
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NavBar & Card SetUp
00:07:32
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Static
00:03:08
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IP Address
00:11:19
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Socket
00:06:24
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Host Address
00:06:03
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Message to Client
00:04:11
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Build Message Functionality
00:07:42
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Chat Part 1
00:05:18
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Chat Part 2
00:04:33
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Chat Part 3
00:09:02
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Introduction
00:07:53
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Installation
00:05:55
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Model Creation
00:08:40
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Data Showing
00:07:43
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Data Showing Part 2
00:11:39
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Add Image Field
00:06:21
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Authentication part 1
00:09:37
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Authentication part 2
00:07:30
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Introduction
00:04:34
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Read & Display Image
00:04:38
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Video Capture From Webcam
00:05:16
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Drawing Shapes On Images
00:07:40
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Mouse Callback Events
00:05:42
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ColorSpace in Detail
00:03:16
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Object Tracking In Images
00:06:48
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Object Tracking In Videos
00:03:45
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Installation
00:06:09
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Pandas part1
00:09:29
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Pandas part2
00:11:05
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Pandas part3
00:14:44
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Pandas part4
00:11:34
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Pandas part5
00:10:50
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Numpy Introduction
00:04:39
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Numpy Array
00:08:27
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Numpy Array Index
00:05:24
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Data Analysis Part 1: SuperMarket Sales Report
00:07:47
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Data Analysis Part 2: SuperMarket Sales Report
00:04:40
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Data Analysis Part 3: SuperMarket Sales Report
00:05:18
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Data Analysis Part 4: SuperMarket Sales Report
00:05:35
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Data Analysis Part 5: SuperMarket Sales Report
00:10:07
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Data Analysis Part 6: SuperMarket Sales Report
00:06:35
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Data Analysis Part 7: SuperMarket Sales Report
00:05:31
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Data Analysis Part 8: SuperMarket Sales Report
00:05:31
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Data Analysis Part 9: SuperMarket Sales Report
00:08:23
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Data Analysis Part 10: SuperMarket Sales Report
00:05:34
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Machine Learning Part 1
00:11:20
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Machine Learning Part 2
00:09:35
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Types of Data
00:06:05
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Descriptive Data analysis
00:06:10
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Measure of Center
00:08:24
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Practice Question
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Anaconda Setup
00:03:58
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Seaborn Library
00:11:36
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Seaborn Library Part2
00:09:22
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ML Steps
00:06:19
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Data Preprocessing
00:09:24
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Univariate analysis and EDD
00:04:47
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EDD in Python
00:03:36
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Task
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Outlier Treatment Part 1
00:06:12
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Outlier Treatment
00:13:58
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Outlier Treatment Part 2
00:08:11
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Task
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Missing Value Imputation Part 1
00:03:24
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Missing Value Imputation Part 2
00:02:06
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Task
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Seasonality in Data
00:04:00
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Variable Transformation
00:03:53
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Task
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Dummy Variable setting
00:07:27
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Task
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Logistic Regression
00:04:59
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Training a Simple Logistic Model in Python
00:09:45
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Result of Logistic Regression
00:02:42
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Task
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Muliple Predictor
00:05:13
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Task
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Confusion Matrix
00:03:15
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Confusion Matrix Part 2
00:05:46
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LDA
00:03:42
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Linear Discernment Analysis Part2
00:01:06
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Task
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Test-Train Split
00:06:15
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Test-Train Split Part2
00:05:28
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Task
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KNN Part1
00:04:24
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KNN Part2
00:05:36
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Task
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Summery
00:02:10
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Bitcoin Prediction
00:09:12
About instructor
4 Courses
4393 Students
528 Reviews
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TOM SANTHOSH
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Linto Devasia
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