📘 AM605PC

Data Analytics Lab

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DA Lab Manual

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Syllabus Overview

List of Experiments

Experiment 1: Data Preprocessing

  • a. Handling missing values
  • b. Noise detection and removal
  • c. Identifying data redundancy and elimination

Experiment 2: Imputation Model

  • Implement any one imputation model

Experiment 3: Linear Regression

  • Implement Linear Regression

Experiment 4: Logistic Regression

  • Implement Logistic Regression

Experiment 5: Decision Tree Induction

  • Implement Decision Tree Induction for classification

Experiment 6: Random Forest Classifier

  • Implement Random Forest Classifier

Experiment 7: ARIMA on Time Series Data

  • Implement ARIMA on Time Series data

Experiment 8: Object Segmentation

  • Object segmentation using hierarchical based methods

Experiment 9: Visualization Techniques

  • Perform Visualization techniques (types of maps - Bar, Column, Line, Scatter, 3D Cubes etc)

Experiment 10: Descriptive Analytics

  • Perform Descriptive analytics on healthcare data

Experiment 11: Predictive Analytics on Product Sales

  • Perform Predictive analytics on Product Sales data

Experiment 12: Predictive Analytics for Weather Forecasting

  • Apply Predictive analytics for Weather forecasting
Data Analytics Lab Notes