We start our journey in learning Python by applying to one of the free Top 3 Coursera Python Courses To Improve Your Programming Skills. After that, we continued improving our practical skills by learning simple but actual and real-world machine learning applications with Python.
Now we have to move forward and start the new mission; Solid Our Practical Skills In Data Science, Machine Learning, and Deep Learning with Python.
Here is a suggestion list of the highest-rated and most recommended courses on Udemy in the Data Science Courses.
1. Learn Machine Learning, Data Science, and Deep Learning with Python
This excellent course is a complete hands-on machine learning tutorial with data science, Tensorflow, artificial intelligence, and neural networks with Python.
It's a practical example and an actual problem-solving way to learn. The course requires a high school level of math skills and sure Python experience.
2. Deep Learning A-Z Hands-On Artificial Neural Networks with Python
Using Python, you will learn how to create Deep Learning Algorithms. This is a high-quality Machine learning course starting with a beginner to intermediate level of knowledge in Deep Learning.
The course required a high school mathematics level and, of course, Basic Python programming knowledge.
3. Python for Data Science and Machine Learning Bootcamp
It's a Bootcamp for moving into the world of Data Science and Learning to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more Libraries and Tools.
It requires Python programming experiences that we already have.
4. The Complete Machine Learning Course with Python
In this practical course, you will build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!
It requires a good understanding of linear algebra and essential Python programming knowledge.
5. Tensorflow 2.0 Deep Learning and Artificial Intelligence
The course's practical part will teach you how to apply Machine learning problems with TensorFlow.
The course covers Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning, and More.
It requires a basic knowledge of Python and Numpy.