├── Internal ├── 1st Internal │ ├── 1st Internal Assignment Questions.docx │ ├── 1st Internal Assignment Questions.pdf │ └── Python 1st Internal Question Paper.docx ├── 2nd Internal │ ├── 2nd Internal Assignment Questions.docx │ └── Python 2nd Internal Question Paper.docx └── ML and Data Analytics Assignment Questions.docx ├── Lab Programs ├── Lab Program-Algorithms.pptx ├── Program-1 │ ├── dataset.csv │ └── main.py ├── Program-2 │ └── candidate_elimination.py ├── Program-3 │ ├── decision-tree.py │ └── play_tennis.csv ├── Program-4 │ ├── naive_bayes_weather.py │ └── weather.csv ├── Program-5 │ ├── iris.py │ └── main.py ├── Program-7 │ ├── data.csv │ └── regression_with_residual_plot.py ├── Program-8 │ └── stat.py └── Program-9 │ ├── dataset.csv │ └── k-means.py ├── Theory Class-Notes ├── 3rd Sem Module-5 Data Visualization.pptx ├── Machine Learning Complete Theory.pptx ├── Machine learning and Data analytics using Python Syllabus.pptx ├── PDF's │ ├── Machine learning and Data analytics using Python Syllabus.pdf │ └── Unit-1-Introduction to ML and Data Analytics.pdf ├── Syllabus-Machine learning and Data analytics using Python.pdf ├── Unit-1-Introduction to ML and Data Analytics.pptx ├── Unit-2 Supervised Learning.pptx ├── Unit-3 Unsupervised Learning.pptx ├── Unit-4 Advanced Machine Learning Techniques.pptx └── Unit-5 Data Analytics and Real-World Applications.pptx ├── pramod.py └── sales.csv /Internal/1st Internal/1st Internal Assignment Questions.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PRAMODNAIK-DEV/MCA-2nd-Sem-ML-Data-Analytics-Shridevi-College/HEAD/Internal/1st Internal/1st Internal Assignment Questions.docx -------------------------------------------------------------------------------- /Internal/1st Internal/1st Internal Assignment Questions.pdf: -------------------------------------------------------------------------------- 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