Learn all the skills to become a Data Scientist & Build 500+ Artificial Intelligence Projects with source
Sub Category
- Data Science
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Objectives
- Machine Learning - [A -Z] Comprehensive Training with Step by step guidance
- Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, SVM, Random Forest)
- Unsupervised Learning - Clustering, K-Means clustering
- Data Pre-processing - Data Preprocessing is that step in which the data gets transformed, or Encoded
- Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices,
- Deep Convolutional Generative Adversarial Networks (DCGAN)
- Java Programming For Data Scientists
- Python Programming Basics For Data Science
- Algorithm Analysis For Data Scientists
Pre Requisites
- Computer & Internet Connection
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!
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