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AKTU AI Lab (MNAM801) Syllabus PDF – B.Tech Minor Degree in Artificial Intelligence and Machine Learning
AI Lab MNAM801
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- Semester 8
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Official AKTU syllabus of AI Lab (MNAM801) for B.Tech Minor Degree in Artificial Intelligence and Machine Learning – 2 credits, L-T-P 0-0-4. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — AI Lab
Download PDFMNAM801 · 2 credits · L-T-P 0-0-4
- Implementation of logical rules in Python.
- Using any data apply the concept of: a. Liner regression b. Gradient decent c. Logistic regression
- To add the missing value in any data set.
- Perform and plot under fitting and over fitting in a data set.
- Implementation of clustering and classification algorithms.
- Python Environment setup and Essentials.
- Mathematical computing with Python (NumPy).
- Scientific Computing with Python (SciPy).
- Data Manipulation with Pandas.
- Prediction using Scikit-Learn
- Data Visualization in python using matplotlib
- Introduction to Kaggle and how it can be used to enhance visibility.
- Build general features to build a model for text analytics.
- Build and deploy your own deep neural network on a website using tensor flow. Note: Subject Teacher May add/ delete the experiments as per the subject requirements.
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