* Cantinho Satkeys

Refresh History
  • FELISCUNHA: Votosde um santo domingo para todo o auditório  4tj97u<z
    24 de Novembro de 2024, 11:06
  • j.s.: bom fim de semana  49E09B4F
    23 de Novembro de 2024, 21:01
  • j.s.: try65hytr a todos
    23 de Novembro de 2024, 21:01
  • FELISCUNHA: dgtgtr   49E09B4F  e bom fim de semana
    23 de Novembro de 2024, 12:27
  • JPratas: try65hytr A Todos  101yd91 k7y8j0
    22 de Novembro de 2024, 02:46
  • j.s.: try65hytr a todos  4tj97u<z 4tj97u<z
    21 de Novembro de 2024, 18:43
  • FELISCUNHA: dgtgtr  pessoal   49E09B4F
    20 de Novembro de 2024, 12:26
  • JPratas: try65hytr Pessoal  4tj97u<z classic k7y8j0
    19 de Novembro de 2024, 02:06
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    16 de Novembro de 2024, 11:11
  • j.s.: bom fim de semana  49E09B4F
    15 de Novembro de 2024, 17:29
  • j.s.: try65hytr a todos  4tj97u<z
    15 de Novembro de 2024, 17:29
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    15 de Novembro de 2024, 10:07
  • JPratas: try65hytr A Todos  4tj97u<z classic k7y8j0
    15 de Novembro de 2024, 03:53
  • FELISCUNHA: dgtgtr   49E09B4F
    12 de Novembro de 2024, 12:25
  • JPratas: try65hytr Pessoal  classic k7y8j0 yu7gh8
    12 de Novembro de 2024, 01:59
  • j.s.: try65hytr a todos  4tj97u<z
    11 de Novembro de 2024, 19:31
  • cereal killa: try65hytr pessoal  2dgh8i
    11 de Novembro de 2024, 18:16
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    09 de Novembro de 2024, 11:43
  • JPratas: try65hytr Pessoal  classic k7y8j0
    08 de Novembro de 2024, 01:42
  • j.s.: try65hytr a todos  49E09B4F
    07 de Novembro de 2024, 18:10

Autor Tópico: 2021 NumPy for Data Science, Deep & Machine Learning  (Lida 104 vezes)

0 Membros e 1 Visitante estão a ver este tópico.

Online mitsumi

  • Moderador Global
  • ***
  • Mensagens: 117576
  • Karma: +0/-0
2021 NumPy for Data Science, Deep & Machine Learning
« em: 31 de Maio de 2021, 14:25 »

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.66 GB | Duration: 5h 15m
Learn Python NumPy for Data Science, Deep and Machine Learning. Learn to Create Complex Arrays to Excel in Deep Learning

What you'll learn
Go from absolute beginner to become a confident Python NumPy user
Dare to get the most out of Python NumPy
Go deeper to understand complex topics in Python NumPy
Learn Python NumPy through several exercises and solutions
Acquire the required Python NumPy knowledge you need to excel in Data Science, Machine Learning, Ai and Deep Learning

Description
NumPy is a leading scientific computing library in Python. Whether you are trying to go into Data Science, dive into machine learning, or deep learning, NumPy is one of the top Modules in Python you should understand to make the journey smooth for you. In this course, we are going to start from the basics of Python NumPy to the advanced NumPy. This course will give you a solid understanding of NumPy and its functions.

At the end of the course, you should be able to write complex arrays for real-life projects.

WHO IS THIS COURSE FOR?

+ This course is for you if you want to learn NumPy for the first time or get a deeper knowledge of NumPy to increase your productivity with deep and Machine learning.

+ This course is for you if you are coming from other programming languages and want to learn Python NumPy fast and know it really well.

+ This course is for you if you are tired of NumPy courses that are too brief, too simple, or too complicated.

+ This course is for you if you want to build real-world applications using NumPy.

+ This course is for you if you have to get the prerequisite knowledge to understanding Data Science and Machine Learning using NumPy.

+ This course is for you if you want to master the in-and-out of NumPy.

+ This course is for you if you want to learn NumPy by doing exciting real-life challenges that will distinguish you from the crowd.

+ This course is for you if plan to pass an interview soon.

Screenshots


Download link:
Só visivel para registados e com resposta ao tópico.

Only visible to registered and with a reply to the topic.

Links are Interchangeable - No Password - Single Extraction