5
9
1345
FREE
Learn about Machine Learning (Python)
What you will Learn?
In this Machine Learning course with Python, you will gain a comprehensive understanding of the core concepts and techniques used in the field. You'll start by learning the basics of machine learning, including the differences between supervised and unsupervised learning. you'll learn how to evaluate model performance using different metrics and apply your knowledge to real-world datasets through practical projects.
Course Requirements
There are no special requirements for this course, but it is preferred if you have knowledge of Python as this course required that.
Machine Learning Course Description
In the Machine Learning course with Python, taught by Dr. Naeem Mustafa and presented by the InnoVista Learn Easy portal, you will embark on a comprehensive journey through the world of machine learning. This course is designed to provide you with a solid foundation in both the theoretical and practical aspects. You will start by understanding the core concepts, such as supervised and unsupervised learning, and progress to more advanced topics like neural networks and deep learning. Dr. Mustafa's expert guidance will help you master essential Python libraries, including Pandas, NumPy, and Scikit-Learn, enabling you to preprocess data, build and evaluate models, and implement various algorithms. Throughout the course, you will engage in hands-on projects that reinforce your learning and provide practical experience. These projects will allow you to apply your knowledge to real-world datasets, enhancing your problem-solving skills and preparing you for real-world challenges. By the end of the course, you will have a robust understanding of machine learning with Python and be equipped with the skills needed to tackle complex data science tasks. Whether you are a beginner or looking to deepen your expertise, this course offers valuable insights and practical knowledge to advance your career in the rapidly evolving field of machine learning.Course Currilcum
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- 1 Introduction to Machine Learning Course (Part 1) 00:17:00
- 2 Introduction to Machine Learning Course (Part 2) 00:12:00
- 3 ML Power: Transform Your Data 00:09:00
- 4 Conversational ChatBot 00:16:00
- 5 Data Preparation for ML & OLS Fit 00:21:00
- 6 ML – Linear & Polynomial Regression 00:25:00
- 7 ML- Multiple Regression 00:20:00
- 8 Binary Logistic Regression 00:25:00
- 9 Multiclass Logistic Regression 00:17:00
- 10 Decision Trees 00:21:00
- 11 Support Vector Machines 00:21:00
- 12 Prompt Engineering 00:16:00
- 13 Parameters of ChatGPT 00:24:00
- 14 Introduction to Dall-E 3 by Open AI 00:21:00
- 15 Explore GPT’s of OpenAI 00:09:00
- 16 Introduction to Hugging Face 00:10:00
- 17 Sentiment Analysis, hugging face 00:17:00
- 18 HF-More Models 00:29:00
- 19 Translation Model 00:13:00
- 20 Deep Learning Single Perceptron 00:23:00
- 21 MultiLayer Perceptron MLP 00:24:00
- 22 NLP Text Mining 00:11:00
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- Course in Progress 00:10:00
Course Instructor
Dr. Naeem Mustafa
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