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AI Engineering
AI Engineering
Curriculum
4 Sections
34 Lessons
10 Weeks
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Installations
3
1.1
001.InstallPython
5 Minutes
1.2
002.InstallJupyter
3 Minutes
1.3
003.InstallVScode
3 Minutes
Fundamentals Of Mathematics
5
1.1
Probability
20 Minutes
1.2
Event In Probability
2 Minutes
1.3
Introduction To Probability In Python
7 Minutes
1.4
TypesOfEvents
23 Minutes
1.5
Elementary Properties In Probability
17 Minutes
LinearAlgebra
4
4.1
001.ScalarAndAbsoluteValue
5 Minutes
4.2
002.Vectors
9 Minutes
4.3
003.Matrix
9 Minutes
4.4
004.DeterminantAndInverseOfMatrix
7 Minutes
002.MachineLearning
22
5.1
001.Introduction
4 Minutes
5.2
002.MachineLearningTypes
4 Minutes
5.3
003.InstallingLibraries
4 Minutes
5.4
004.LinearRegression
18 Minutes
5.5
005.CoeffAndIntercept
10 Minutes
5.6
006.GradientDescent
14 Minutes
5.7
007.LinearRegressionExample
6 Minutes
5.8
008.Train_Test_Split
7 Minutes
5.9
009.IntroductionToStreamlit
10 Minutes
5.10
010.LimitationsOfLinearRegression
3 Minutes
5.11
011.LogisticRegression
16 Minutes
5.12
012.Slope-Itercept
5 Minutes
5.13
013.OneHotEncodingAndLabelEncoding
24 Minutes
5.14
014.UnderfitAndOverfit
4 Minutes
5.15
015.PolynomialRegression
7 Minutes
5.16
016.GiniImpurity
6 Minutes
5.17
017.DecisionTrees
15 Minutes
5.18
018.RandomForest
8 Minutes
5.19
019.SupportVectorMachine
8 Minutes
5.20
020.K-FoldCrossValidation
10 Minutes
5.21
021.K-MeansClustering
4 Minutes
5.22
022.K-NearestNeighbors(KNN)
7 Minutes
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