AI-ML

Assignment No - 1

Take a usecase in any domain and explain below points properly

• Data : Data Sources, Data Issues, Types of Data
• Problem Statement

Assignment No - 2

Use Methods of Python Datatypes (Objects) int, float, complex, list, tuple, str, set, dict, bool
Hint: help()
Notebook Link : Click Here

Assignment No - 3

Python Libraries for Data Analysis and Visualization

• Numpy-100 , Solve using help(np) and help(np.function_name) .
• Pandas-100 , Solve using help(pd) and help(pd.function_name) .
• Matplotlib : Draw 10 graphs with proper meaning
• Seaborn : Draw 10 graphs with proper meaning

Assignment No - 4

Take any Dataset from Kaggle, data.gov.in, data.gov, etc
Diplay the first 5 rows of the data using pandas. Copy it.

Prompt:
This is a sample dataset. My complete data shape is data.shape.

Insert your 5 rows here.

Give me 100 real world questions based on my data which I can solve using Numpy, Pandas, Matplotlib, Seaborn.

Now, use that questions and solve in Jupyter notebook using the dataset.

Reference:

Assignment No - 5

Implementing Multiple ML Algorithmns

• Simple LR, Multiple LR
• Logistic
• Decision Tree Regressor, Decision Tree Claassifier
• Random Forest
• Naive Bayes
• SVC
• XGBoost

Note: Only one colab Notebook per assignment

Assignment No -6

Create an ANN/CNN on any dataset

Recordings: https://drive.google.com/drive/folders/1xdqttVG8cSXCPdPP81kZjIi6N55pct9h

Project Templates: https://drive.google.com/drive/folders/1m_vXdKkujfkVq1x57h6bZ3Kj_07hdh4T