Machine learning & AI
course in Chandigarh
Contact us:
8699644644
[email protected]
Adress : SCO - 112-113 ,1 Floor ,Sector 34A,Chandigarh
STModule 1: Introduction to AI & ML
What is AI, Machine Learning, Deep Learning?
History & Real-world Applications
Types of Machine Learning (Supervised, Unsupervised Reinforcement)
AI vs Human Intelligence
Module 2: Python for AI/ML
Python Basics: Variables, Loops, Functions
Libraries: NumPy, Pandas, Matplotlib, Seaborn
Jupyter Notebook Setup
Module 3: Mathematics for ML
Linear Algebra (vectors, matrices, dot product)
Probability & Statistics basics
Calculus for optimization (derivatives, gradients)
Module 4: Data Preprocessing & Feature Engineeri
Data Cleaning (handling missing values, outlier
Feature Scaling & Normalization
Encoding Categorical Variables
Train-Test Split, Cross ValidationModule 5: Supervised Learning
Regression (Linear, Polynomial, Logistic Regression)
Classification (Decision Trees, Random Forest, SVM, KNN, Naive
Bayes)
Model Evaluation Metrics (Accuracy, Precision, Recall, F1, ROC-AUC)
Module 6: Unsupervised Learning
Clustering (K-Means, Hierarchical, DBSCAN)
Dimensionality Reduction (PCA, t-SNE)
Module 7: Neural Networks & Deep Learning
Perceptron & Backpropagation
Activation Functions
Deep Neural Networks
Introduction to TensorFlow & PyTorch
Module 8: Advanced Deep Learning
Convolutional Neural Networks (CNNs) – Image Recognition
Recurrent Neural Networks (RNNs, LSTMs) – Time Series & NLP
Transfer Learning & Pretrained Models