What You'll Learn
- Introducing the structure of Machine Learning and Deep Learning and their application in real problems
- Introducing Machine Learning and Deep Learning algorithms and launching them in projects
- Implementing Machine Learning and Deep Learning algorithms in Python
- Familiarity with Python syntax for using Machine Learning and Deep Learning
- Familiarity with Prediction Models
- Data preparation and Visualization for use in Machine Learning and Deep Learning algorithms
- Using Case Studies in projects
- Learning how to use APIs to collect up-to-date data and learn about different Data sets
- Introducing and using different Machine Learning and Deep Learning libraries in Python
- Getting to know different Neural Networks and using them in real projects
- Image processing using Artificial Neural Network (ANN) in Python
- Classification with Neural Networks using Python
- Familiarity with Natural Language Processing (NLP) and its use in projects
- Forecasting the amount of sales, product price, sales price, etc.
- Introducing and using algorithm validation metrics such as: Confusion matrix, Accuracy score, Precision score, Recall score, F1 score, etc.
- +40 Cheat Sheets of Data Science, Machine Learning, Deep Learning and Python
Requirements
- Basic Python
Who This Course is For
- Developers
- Data Scientists
- Data Analysts
- Researchers
- Teachers
- Managers
- Students
- Job seekers
Your Instructor
S. Emadedin Hashemi
AI Expert and Data Scientist
4.3 Instructor Rating
843 Reviews
93,615 Students
3 Courses
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