Python for Machine Learning
Python is one of the most preferred programming languages when it comes to Data Science, Machine Learning and Deep Learning related applications. Because of its good community support, high level and high-performance packages available in python and the packages which can run on GPU, python is the first choice of the Data Scientists across the world.
Packages like numpy, pandas, matplotlib, seaborn and scikit-learn make python the easiest and the most powerful among all programming languages for Data Science and Machine Learning.
This course is designed to make a learner get understanding of python programming from basic to advance to get started with Data Science and Machine Learning.
This course specially designed for those want to start their career in the field of machine learning, Data science, data analytics and they do not have any experience in coding.
The course covers basics to advance of python, and working with pandas, matplotlib, numpy and seaborn, the learner will get to learn with some interesting case studies and projects.
For coding, Reference click on the link IPL Data Analysis using python
- The learner will understand the power of Python Programming language,
- A learner will become ready to go for the advanced courses, i.e. AI, Machine Learning, Deep Learning and Data Science
- No prerequisites required
November 24, 2018 at 11:17 am
Good videos Awesome Experience. I knew a little bit of python before but have not used it in a while. This course was great for refreshing my memory of the basics of python.
November 24, 2018 at 11:05 am
The course was very structured and very informative course that enables you to start python programming without any problem.
November 24, 2018 at 09:54 am
Excellent syllabus. Speed of the course was perfect .Learnt how to code in python .Application of python .Learnt how to write code in Python.
November 21, 2018 at 12:50 pm
I thought the course had the perfect amount of problem-solving in the assignments. I learned lots, and it was simple and easy to follow.