Machine Learning Pro: Advanced Algorithms And Applications

The Machine Learning course is designed to provide a comprehensive understanding of machine learning concepts, algorithms, and applications. It covers topics ranging from data preprocessing and model building to advanced techniques like deep learning

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Course curriculum

1. 1.1 What is Machine Learning?
2. 1.2 Basics of Python for Machine Learning
1. 2.1 Data Preprocessing
2. 2.2 Exploratory Data Analysis (EDA)
1. 3.1 Regression
2. 3.2 Classification
1. 4.1 Clustering
2. 4.2 Dimensionality Reduction
1. 5.1 Model Evaluation
2. 5.2 Hyperparameter Tuning
1. 6.1 Neural Networks Basics
2. 6.2 Deep Learning Architectures
1. 7.1 NLP Basics
2. 7.2 Text Mining
1. 8.1 Model Deployment
2. 8.2 Scalability
1. 9.1 Ethics in Machine Learning
1. 10.1 Project Proposal
2. 10.2 Project Implementation
1. Final Quiz

About this course

Free
20 lessons
0 hours of video content

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Machine Learning Pro: Advanced Algorithms And Applications

Course curriculum

1. Introduction To Machine Learning

2. Data Preprocessing And Exploratory Data Analysis (EDA)

3. Supervised Learning Algorithms

4. Unsupervised Learning Algorithms

5. Model Evaluation and Hyperparameter Tuning

6. Introduction to Deep Learning

7. Natural Language Processing (NLP) and Text Mining

8. Model Deployment and Scalability

9. Ethics and Bias in Machine Learning

10. Capstone Project

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About this course

Discover your potential, starting today