Top 10 Python Libraries | Python Certification Training for Data Science | Edureka
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***** Python Certification Training for Data Science: https://www.edureka.co/data-science-python-certification-course *****
This Edureka live session will introduce you to the top 10 most trending Python libraries. The 10 python libraries included in this session are:
1. TensorFlow
2. Scikit-learn
3. SciPy
4. NumPy
5. Pandas
6. Selenium
7. PySpark
8. OpenCV
9. Matplotlib
10. Django
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About the Course
Edureka’s Python Data Science course is designed to make you grab the concepts of Machine Learning. The course will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
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Why learn Data Science?
Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Python Machine Learning Course curriculum, Visit our Website: http://bit.ly/2OpzQWw
This is really helpful 👍
Impressive👍🏼
10. Pandas
00:42
9. NumPy
03:46
8. Matplotlib
07:12
7. Selenium
13:14
6. OpenCV
17:18
5. SciPy
18:57
4. Scikit-learn
20:06
3. PySpark
25:19
2. Django 26:14
1. TensorFlow
26:57
Your Welcome 🙂
But super
Thank you so much 😀
Super work.
Thank you
Very helpful. Thank you!
Video is good but please don't use race related words while giving examples, that might cause problems.
When i am importing tensorflow it shows a long list of errors like DLL load failed etc.Why it is happening , I have installed python3.6 and tensorflow also
Excellent 😘
why did you forget keras?
Superrrr😂😂😂😂😃😃😃
where is keras?