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Video TrainingUdemy - Data Visualization with Numpy and Pandas





Udemy - Data Visualization with Numpy and Pandas
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 35 lectures (4 hour, 55 mins) | Size: 1.73 GB
Learn how to get you up and running with data analysis and visualization using NumPy and Pandas



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Video TrainingUdemy - 2021 NumPy, Pandas and MatDescriptionlib A-Z™ for Machine Learning (Updated 07.2021)





Udemy - 2021 NumPy, Pandas and MatDescriptionlib A-Z™ for Machine Learning (Updated 07.2021)
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.23 GB | Duration: 11h 37m
Learn Python NumPy, Pandas and MatDescriptionlib for Machine Learning, Deep Learning & Data Science. Solve Real-World Problems!



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Video TrainingUdemy - Master Numpy Foundation and Practice Challenging Exercises





Udemy - Master Numpy Foundation and Practice Challenging Exercises
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 102 lectures (8h 14m) | Size: 3.64 GB
Learn how to use Numpy from fundamentals of python and practice 80 exercises and 350 quiz questions



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Video TrainingSkillshare - Advanced Python Library - Numpy Array for Beginners





Skillshare - Advanced Python Library - Numpy Array for Beginners
Duration: 55m | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | Size: 183 MB
Genre: eLearning | Language: English
This course is designed for python developers who want to enhance their career in Machine Learning, Data Science, Artificial Intelligence.



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Video TrainingUdemy - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning





Udemy - 2021 NumPy and Pandas A-Z™ for Deep and Machine Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 323 lectures (8h 20m) | Size: 3 GB
Learn Python NumPy & Pandas prerequisites for ML & DL. Create Complex array and analyse real-world data sets with Pandas



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