About Course

This Machine Learning course covers essential ML algorithms used in industry. Learn regression, classification, decision trees, and random forest algorithms. Build predictive models, evaluate their performance, and apply them to real-world datasets. Perfect for those wanting to start their ML journey.

What You'll Get

Core Algorithms

Master regression & classification

Decision Trees

Build tree-based models

Random Forest

Ensemble learning

Model Evaluation

Evaluate model performance

Certification

Get certified

Hands-on Projects

Real-world projects

Tools You'll Learn

Python
NumPy
Pandas
Scikit-learn

Course Modules

Module 1

Regression

  • Linear Regression
  • Polynomial Regression
  • Multiple Regression
  • Ridge & Lasso
  • Gradient Descent
  • Real Projects
Module 2

Classification

  • Logistic Regression
  • K-Nearest Neighbors
  • Naive Bayes
  • SVM
  • Accuracy Metrics
  • Confusion Matrix
Module 3

Tree & Forest

  • Decision Trees
  • Random Forest
  • Bagging & Boosting
  • XGBoost
  • Hyperparameter Tuning
  • Final Project

Start Your Career Today

Enroll Now