Best Python Libraries For Data Science & Machine Learning | Data Science Python Libraries | Edureka
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This Edureka session will focus on the top Python libraries that you should know to master Data Science and Machine Learning. Here’s a list of topics that are covered in this session:
Introduction To Data Science And Machine Learning
Why Use Python For Data Science And Machine Learning?
Python Libraries for Data Science And Machine Learning
Python libraries for Statistics
Python libraries for Visualization
Python libraries for Machine Learning
Python libraries for Deep Learning
Python libraries for Natural Language Processing
Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-graduate/machine-learning-and-ai
Post Graduate Certification in Data Science with IIT Guwahati – https://www.edureka.co/post-graduate/data-science-program
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)
About the Masters Program
Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.
The Master’s Program Covers Topics LIke:
Machine Learning Techniques and Artificial Intelligence Types
Named Entity Recognition
Bayesian and Markov’s Models
Policy Gradient Methods.
There are no prerequisites for enrollment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.
Please write back to us at email@example.com or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information