B.Tech IT Sem 5 Scheme
Statistical Analysis UG Syllabus PDF
Introduction to Statistical Analysis
Introduction to Statistical Analysis [ PDF ]
Modeling Data
Statistical Inference About One Population
Hypothesis Testing (Parametric) [ PDF ]
Hypothesis Testing (Non-Parametric) [ PDF ]
SA Inferential Statistics: Hypotheses Testing LaTeX PDF
SA Solved Examples [ PDF ]
SA Confusion Matrix Examples [ Spreadsheet.xls ]
SA Confusion Matrix Example [ PDF ]
SA Example: Multiclass Confusion Matrix [ PDF ]
Multiclass Confusion Matrix [ Confusion Matrix_Lab.ipynb ]
Statistical Inference About Two Population
Statistical Inference About Two Population [ PDF ]
Analysis of Variance
Analysis of Variance [ PDF ]
Non-Parametric Statistical Tests
Recommender Systems [ PDF ]
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Guidelines for writing Lab Experiments - Jan 2023 [ PDF ]
List of Datasets:
Introduction to Machine Learning
Learning with Regression and Trees
Dimensionality Reduction
Classification
Clustering
Density-Based Clustering: DBSCAN [ ipython ]
To implement Radial basis functions
Applications of Machine Learning
Mini project based on any machine learning application
Sample Gray Scale 8-bit BMP Images for experiment [ IMAGE FOLDER ]
Guidelines for writing DL Lab Experiments - Jan 2023 [ PDF ]
Machine Learning using Python = Lab Manual - July 2020 [ PDF ]
2024-25
Internal Assessments
IA-1: [ IA-1 QP PDF ] [ IA-1 Solution PDF ]
IA-2: [ IA-2 QP PDF ] [ IA-2 Solution PDF ]
Assignments:
Assignment #1: QP PDF [ Solution PDF ]
Assignment #2: QP PDF [ Solution PDF ]
Theory Examination
Theory QP PDF [ TH Solution PDF ]