Introduction to Machine Learning
Master Introduction to Machine Learning with comprehensive training and hands-on projects
10 weeks
Mon, Wed, Fri (1.5 hours/day)
ML Basics
Supervised Learning
Unsupervised Learning
Practical Applications
Donation-based learning for company growth
Request 1:1 Session
Lifetime access to materials
Certificate of completion
Career guidance included
Weekly Curriculum
Week 1
Monday
What is Machine Learning?
Wednesday
Python Setup for ML
Friday
Introduction to NumPy
Week 2
Monday
Introduction to Pandas
Wednesday
Data Cleaning Techniques
Friday
Mini Project: Data Exploration
Week 3
Monday
Linear Regression Basics
Wednesday
Cost Function and Gradient Descent
Friday
Evaluating Regression Models
Week 4
Monday
Logistic Regression
Wednesday
Classification Metrics
Friday
Mini Project: Binary Classification
Week 5
Monday
Decision Trees
Wednesday
Random Forests
Friday
Feature Importance
Week 6
Monday
K-Means Clustering
Wednesday
Evaluating Clusters
Friday
Mini Project: Customer Segmentation
Week 7
Monday
Principal Component Analysis
Wednesday
Dimensionality Reduction
Friday
Visualization Techniques
Week 8
Monday
Introduction to Neural Networks
Wednesday
Building a Simple NN with Keras
Friday
Mini Project: Image Classification
Week 9
Monday
Overfitting and Regularization
Wednesday
Cross-Validation
Friday
Hyperparameter Tuning
Week 10
Monday
Final Project Planning
Wednesday
Project Development
Friday
Final Project Presentation