Machine Learning (Intermediate Course)

Unleash the power of data with our Machine Learning course! Learn how to create algorithms that can learn from and make predictions on data. Gain expertise in supervised and unsupervised learning, neural networks, and deep learning. Apply these skills to real-world problems such as image recognition, language processing, and fraud detection. This course is designed for beginner to intermediate learning. Enroll now to become a Machine Learning pro!We have monthly LIVE question and answer sessions. Invitations to LIVE Q&A will be based on questions, while users can attend multiple sessions upon request.

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About this course

We have monthly LIVE question and answer sessions. Invitations to LIVE Q&A will be based on questions, while users can attend multiple sessions upon request.

Requirement for this course

1 Parts

How to download github package

1 Introduction to Machine Learning

5 Parts

1a Introduction to Machine Learning (free)

1b History of Machine Learning

1c Technique of Machine Learning

1d Pre-Building Task

1e Building a Model

2 Data Exploration

3 Parts

2a Installation of Required Software

2b Data Exploration

2c Visualizing Data with Matplotlib

3 Regression Machine learning Technique

4 Parts

3a Regression ML Technique

3b Regression ML Technique

3c Logistic Regression

3d Logistic Regression

4 Classification

3 Parts

4a What is Classification ML Technique?

4b Classification ML Technique

4c Classification ML Technique

5 Clustering

1 Parts

5 Clustering ML Technique

6 Natural Language Processing

3 Parts

6a Natural Language Processing

6b Natural Language Processing

6c NLP Project (Create a Bot)

7 Reinforcement machine Learning technique

4 Parts

7a Reinforcement Learning

7b Reinforcement Learning

7c Reinforcement learning

7d Reinforcement Learning

8. Support Vector Machine (SVM)

2 Parts

8a. Support Vector Machine (SVM)

8b. Polynomial kernel

9. Decision tree

1 Parts

9. Decision tree Algorithm

10. Ensemble Machine learning algorithm

1 Parts

10 Ensemble Machine Learning Algorithm

11. KNN Algorithm

1 Parts

11. KNN Algorithm

Final Project

3 Parts

Loan Approval Prediction

Rainfall

Wine Quality

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Machine Learning (Intermediate Course)

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