Build predictive models, master deep learning, and solve real-world data science problems using Python, Scikit-Learn, an
Sub Category
- Other IT & Software
{inAds}
Objectives
- Build robust predictive models using Python, TensorFlow, and Keras to solve practical, real-world analytical problems
- Develop and evaluate machine learning algorithms, including house price prediction and customer churn classification models
- Clean, preprocess, and analyze complex datasets from sources like Kaggle to prepare them for neural networks
- Train and deploy advanced predictive analytics solutions, such as energy efficiency regression models, from scratch
Pre Requisites
- A basic understanding of Python programming and general data structures is recommended. No prior machine learning, TensorFlow, or Keras experience is required—we will build these skills from the ground up! You will simply need a computer with internet access to use free tools like Jupyter Notebook or Google Colab
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)