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
How to Enroll Machine Learning and Deep Learning Projects in Python course?
How many members can access this course with a coupon?
Machine Learning and Deep Learning Projects in Python Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!
