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Overview
Overview
Age: 18+
Course Description
This course helps you to practically learn machine learning concepts from basics to advanced and develop the skills needed for an exciting career in Machine Learning.
Course Overview
This career building course involves you to build multiple projects and helps you develop a good understanding of Machine Learning concepts practically.
You will develop the following projects:
- New House Price Prediction
- Credit Card Fraud Detection
- Movie Recommendation System
- Hand Written Digits Recognition
Course Features
- Lectures 94
- Quizzes 0
- Duration 100 hour
- Language English
- Certificate No
- Assessments Yes
Curriculum
Curriculum
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Module 1: What is Machine Learning
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Module 2: Your First Machine Learning Model - Boston Housing
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Module 3: Mean Squared Error
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Module 4: Data Splitting & Accuracy of Model - Boston Housing
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Module 5: Linear Regression - Boston Housing
- Learn: Linear Regression & its Types
- Learn: Gradient Descent – Learning Rates
- Learn: Programming logic – Update Function
- Do: Update Function
- Learn: Programming logic – Descent Function
- Do: Descent Function
- Learn: Programming logic – Model Training Visualization
- Do: Model Training Visualization
- Learn: Programming logic – Error Visualization
- Do: Error Visualization
- Review: Linear Regression
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Module 6: Machine Learning Prediction - Boston Housing
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Module 7: Credit Card Fraud Detection
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Module 8: SelectKBest Features
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Module 9: Train Model
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Module 10: Fraud Prediction
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Module 11: Movie Recommendation System
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Module 12: MRS - Data Preprocessing
- Learn: MRS – Data Visualization – Programming Logic
- Learn: MRS – Data Processing – Programming Logic
- Do: MRS – Data Vizualization – Movies
- Do: MRS – Data Processing – Movies
- Do: MRS – Data Vizualization & Processing – Users
- Do: MRS – Create pivot table and sparse matrix
- Do: MRS – Map Data – Movies to Movie ID
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Module 13: Train Model
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Module 14: MRS - Evaluate Model & Predict
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Module 15: Recognize Handwritten Digits
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Module 16: MNIST Dataset - Preprocessing the Data
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Module 17: Neural Networks in Deep Learning
- Learn: What is a Neural Network
- Learn: Representation of Neural Networks
- Learn: Output of a Neural Network
- Learn: Activation Functions in Neural Networks
- Learn: TensorFlow & Keras – Basic Concepts
- Learn: Recognize Handwritten Digits – Deep Learning Model – Programming Logic
- Do: Recognize Handwritten Digits – Setup Neural Network
- Do: Recognize Handwritten Digits – Train the Model
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Module 18: Recognize Handwritten Digits - Evaluate the Model & Predict the Digits
- Learn: Recognize Handwritten Digits – Model Evaluation – Programming Logic
- Do: Recognize Handwritten Digits – Vizualize model training
- Do: Recognize Handwritten Digits – Evaluate Accuracy & Make Predictions
- Do: Recognize Handwritten Digits – Function to Visualize Results
- Do: Recognize Handwritten Digits – Visualize Prediction of Random Samples
- Do: Recognize Handwritten Digits – Visualize Prediction of Incorrect Samples
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