OPPE 1 Revision Session 1 | Machine Learning Practices | Session - 12

OPPE 1 Revision Session 1 | Machine Learning Practices | Session - 12 This session is collaborated with GIR House, one of the 12 Houses of IITM BS Degree Please fill this feedback form to rate my sessions: https://forms.gle/pMaacwzLzkt366dq8 In this session, we've covered:- - Concepts from Week 1 to Week 5 - OPPE 1 Mock 1 - OPPE 1 Mock 2 Kaggle notebooks 🔼 (Make sure to upvote them): Concepts Revision code: https://www.kaggle.com/param302/mlp-session-12-by-parampreet-singh OPPE 1 Mock 1 solutions: https://www.kaggle.com/code/param302/iitmbs-mlp-oppe-1-mock-1 OPPE 1 Mock 2 solutions: https://www.kaggle.com/code/param302/iitmbs-mlp-oppe-1-mock-2 Want to attend my Live Sessions? I usually take them twice a week - Wednesday & Sunday, at 6 pm. You can join my session calendar for details and meet links: https://calendar.google.com/calendar/u/0/r?cid=a8befe210b01089b6fcaf692ef2de1cf1f6127133f081a7885c66ff082614b9a@group.calendar.google.com Topics included in OPPE 1: - Numpy - Pandas - Sklearn datasets - Sklearn preprocessing - Sklearn model selection - Sklearn metrics - Sklearn pipeline - Sklearn feature selection - Sklearn linear model - Linear regression / SGD regressor - Data Preprocessing - Data Cleaning (Missing Values, Outliers) - - SimpleImputer - - KNNImputer - Feature Engineering - - Polynomial Features - - Interaction Features - Feature Transformation - - Encoding - - - OneHotEncoder - - - OrdinalEncoder - - - LabelEncoder - Feature Selection - - SelectKBest - - SelectPercentile - - RFE - - RFECV - - SelectFromModel - - Mutual Information - - VarianceThreshold - - chi2 - Feature Scaling - - StandardScaler - - MinMaxScaler - - MaxAbsScaler - Model Pipeline - - Pipeline - - FeatureUnion - - ColumnTransformer - Linear Regression - - Simple Linear Regression - - SGD Regressor - - Ridge Regression (L2) - - Lasso Regression (L1) - Cross Validation - - ShuffleSplit - - LeaveOneOut - - KFold - - StratifiedKFold - Hyperparameter Tuning - - GridSearchCV - - RandomizedSearchCV Follow me on my social handles: Bio link 🔗 https://param302.bio.link Twitter 🔗 https://twitter.com/Param3021 LinkedIn 🔗 https://www.linkedin.com/in/param302/ Github 🔗 https://github.com/Param302 Kaggle 🔗 https://kaggle.com/param302