Brief Introduction
Launch your career with a Machine Learning Certificate, Build ml models using Python.Description
This course provides a broad introduction to Machine learning, Deep Learning, Artificial Neural Networks, and also strategies, techniques needed to build the best machine learning models. The course starts with Introduction to python programming, Data structures, and python for Machine learning. Learn to use Regression, Classification models on a wide variety of datasets Available at Kaggle. Learn to built neural networks for classification for image datasets, learn to use pre-trained models to make predictions, Also, learn how Neural networks can outperform human ability using TensorFlow.
Requirements
- Requirements
- Basic Computer science
Innoovatum Practical Engineering
3.6 Raiting
Data Science for Professionals
- 4.3
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It's time to leave spreadsheets behind. . . What is it? Data Science for Professionals is simply the best way to gain a in-depth and practical skill set in data science....
Practical Machine Learning by Example in Python
- 0.0
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A Deep Dive into Building Machine Learning and Deep Learning models Are you a developer interested in building machine learning and deep learning models?...
Google Cloud Fundamentals: Core Infrastructure en Français
- 4.7
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Ce cours présente des concepts et des termes à connaître pour exploiter Google Cloud Platform (GCP). Remarque : Présentation de Google Cloud Platform...
PyTorch Basics for Machine Learning
- 0.0
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This course is the first part in a two part course and will teach you the fundamentals of PyTorch. Enroll to learn more, complete the course and claim your badge!...
