Curriculum
- 15 Sections
- 150 Lessons
- 4 Weeks
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- Introduction to Machine Learning10
- 1.1Introduction to Machine Learning
- 1.2Machine Learning vs Artificial Intelligence
- 1.3Machine Learning vs Data Science
- 1.4Types of Machine Learning
- 1.5Supervised Learning
- 1.6Unsupervised Learning
- 1.7Reinforcement Learning Overview
- 1.8Real-World Machine Learning Applications
- 1.9Machine Learning Workflow
- 1.10Setting Up the Machine Learning Environment
- Python for Machine Learning10
- Data Preprocessing10
- Exploratory Data Analysis10
- 4.1Introduction to Exploratory Data Analysis
- 4.2Descriptive Statistics
- 4.3Data Distribution Analysis
- 4.4Correlation Analysis
- 4.5Feature Relationships
- 4.6Matplotlib Fundamentals
- 4.7Seaborn Fundamentals
- 4.8Creating Business and ML Visualizations
- 4.9Identifying Patterns in Data
- 4.10Exploratory Data Analysis Project
- Machine Learning with Scikit-learn10
- Regression Algorithms10
- Classification Algorithms10
- Ensemble Learning10
- Unsupervised Learning10
- Dimensionality Reduction10
- Model Evaluation and Optimization10
- Deep Learning Fundamentals10
- NLP and Computer Vision Basics10
- 13.1Introduction to Natural Language Processing
- 13.2Text Preprocessing
- 13.3Tokenization and Stop Words
- 13.4Text Vectorization
- 13.5Sentiment Analysis
- 13.6Introduction to Computer Vision
- 13.7Image Data Fundamentals
- 13.8Image Classification Concepts
- 13.9Machine Learning Applications in NLP and Vision
- 13.10NLP or Computer Vision Mini Project
- Machine Learning Deployment10
- 14.1Introduction to Model Deployment
- 14.2Saving Trained Models
- 14.3Pickle and Joblib
- 14.4Creating Prediction APIs
- 14.5Introduction to Flask
- 14.6Integrating Machine Learning Models with APIs
- 14.7Model Input and Output Validation
- 14.8Basic Deployment Workflow
- 14.9Introduction to Cloud Deployment Concepts
- 14.10Machine Learning Deployment Project
- Live Projects and Capstone Project10
- 15.1House Price Prediction Project
- 15.2Sales Forecasting Project
- 15.3Customer Churn Prediction
- 15.4Customer Segmentation Project
- 15.5Loan Prediction Project
- 15.6Spam or Sentiment Classification
- 15.7Recommendation System Concepts
- 15.8Machine Learning Model Deployment Project
- 15.9End-to-End Machine Learning Project
- 15.10Final Machine Learning Capstone Project
End-to-End Machine Learning Project
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