├── 1.Programming └── 1.8.3 SQL Commands.pdf ├── 2.EDA & Data Visualization ├── 2.1 Plotting for exploratory data analysis (EDA).pdf ├── 2.2 Linear Algebra & Geometry.pdf ├── 2.3 Probability & Statistics.pdf ├── 2.4 Dimensionality reduction.pdf └── mso57FE.tmp ├── 3.Supervised ML Part-I ├── 3.1 Natural Language Processing.pdf ├── 3.2 Classification And Regression Models KNN.pdf ├── 3.3 Classification algorithms in various situations.pdf ├── 3.4 Performance measurement of models.pdf ├── 3.5 Naive Bayes.pdf ├── 3.6 Logistic Regression.pdf ├── 3.7 Linear Regression.pdf ├── 3.8 Solving Optimization Problems.pdf └── mso3B74.tmp ├── 4.Supervised ML Part-II ├── 4.1.Support Vector Machines.pdf ├── 4.2 Decision Tree.pdf └── 4.3 Ensemble models.pdf ├── 5.Feature Engineering ├── 5.1 Feature engineering.pdf └── 5.2 Miscellaneous Topics.pdf └── 8.Deep Learning ├── 8.1 Deep Learning-Neural Networks.pdf ├── 8.4 Convolutional Neural Networks.pdf └── 8.5 Recurrent Neural Networks.pdf 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