Curriculum
- 4 Sections
- 34 Lessons
- 10 Weeks
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- Installations3
- Fundamentals Of Mathematics5
- LinearAlgebra4
- 002.MachineLearning22
- 5.1001.Introduction4 Minutes
- 5.2002.MachineLearningTypes4 Minutes
- 5.3003.InstallingLibraries4 Minutes
- 5.4004.LinearRegression18 Minutes
- 5.5005.CoeffAndIntercept10 Minutes
- 5.6006.GradientDescent14 Minutes
- 5.7007.LinearRegressionExample6 Minutes
- 5.8008.Train_Test_Split7 Minutes
- 5.9009.IntroductionToStreamlit10 Minutes
- 5.10010.LimitationsOfLinearRegression3 Minutes
- 5.11011.LogisticRegression16 Minutes
- 5.12012.Slope-Itercept5 Minutes
- 5.13013.OneHotEncodingAndLabelEncoding24 Minutes
- 5.14014.UnderfitAndOverfit4 Minutes
- 5.15015.PolynomialRegression7 Minutes
- 5.16016.GiniImpurity6 Minutes
- 5.17017.DecisionTrees15 Minutes
- 5.18018.RandomForest8 Minutes
- 5.19019.SupportVectorMachine8 Minutes
- 5.20020.K-FoldCrossValidation10 Minutes
- 5.21021.K-MeansClustering4 Minutes
- 5.22022.K-NearestNeighbors(KNN)7 Minutes
