Adv Certification Course In Machine Learning

Topics

• Overfitting vs underfitting.
• Hyperparameter tuning.
• Cross-validation.
• ML pipeline for production.
• Intro to ML for marketing, finance, retail.

Topics

• Choosing your dataset.
• Cleaning, modelling, and testing.
• Creating charts.
• Basic model export.
• Preparing a short project report.

Topics

• Python basics.
• What is ML?
• Variables, loops, conditions.
• Types: supervised vs unsupervised.
• Functions and modules.
• Train-test split.
• Jupyter Notebook setup.
• Basic model workflow.
• Intro to NumPy.
• Data scaling.

Topics

• Reading CSV, Excel, and JSON files.
• Data filtering and cleaning.
• Missing value handling.
• Creating new columns.
• Basic charts with Matplotlib.

Topics

Topics

• Linear Regression.
• Logistic Regression.
• Decision Trees.
• Random Forest.
• Model evaluation metrics.