Complete course on AI, Machine Learning & Deep Learning from Zero to Hero (Part 1)
This course provides advanced concepts of artificial intelligence. Students will learn in-demand skills such as machine learning, deep learning, NLP, generative AI, and many more…
This course provides advanced concepts of artificial intelligence. Students will learn in-demand skills such as machine learning, deep learning, NLP, generative AI, and many more. Students will learn to approach problems in a systematic, data-driven way, which can be applied to various real-world challenges beyond just AI. Studying AI and ML can deepen your understanding of human intelligence and cognition, providing insights into how we learn, think, and make decisions.
- Introduction to AI
- Introduction to Jupyter Notebook
- NumPy, Pandas. Matplotlib, Scikit-learn, Seaborn
- Supervised & Unsupervised Machine Learning
- Linear Regression, Linear regression in Multiple Variable
- Gradient Descent
- Dummy variable and One hot Encoding
- Training and Testing data
- Classification Algorithm in ML
- Logistic Regression(Binary & Multiclass Classification)
- KNN Classification
- Support Vector Machine
- Decision Tree Algorithm
- Naive Bayes classifier
- Random Forest Algorithm
- K-Fold Cross Validation
- Previous knowledge of Python Advanced Course