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Machine Learning with Robotics Language Automation

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Course Info
Curriculum

About Course

Step Ahead in your career with this advanced Machine Learning Internship tailored to Build a bridge between Students and The most in demand skill of 2022.

Certified Projects Exposure

Airobosoft Machine Learning internship will make you a skilled & expert Machine Learning Engineer. It covers all the essentials of the field and provides plenty of hands-on experience. Every organisation is betting big on machine learning to fuel their growth and the demand for data scientists has skyrocketed. Machine Learning is not only the most…

Step Ahead in your career with this advanced Machine Learning Internship tailored to Build a bridge between Students and The most in demand skill of 2022.

Certified Projects Exposure

Airobosoft Machine Learning internship will make you a skilled & expert Machine Learning Engineer. It covers all the essentials of the field and provides plenty of hands-on experience. Every organisation is betting big on machine learning to fuel their growth and the demand for data scientists has skyrocketed. Machine Learning is not only the most lucrative career option today (average salary for Data Science roles in India is 10LPA+ as per Glassdoor & LinkedIn) and will soon become an essential skill for everyone.

About the instructor

Course Curriculum

Introduction & Pre Requisites

  • C.E.O’s MESSAGE & Procedure >>
    7:33
  • Getting Familiar with Google-Colab (Code on Google Servers)
    12:22
  • Getting Familiar With GitHub
    17:25

Basics to Advance Python programming

  • Anaconda Navigator software installation and configuration [DAY 2]
    19:51
  • Jupyter Notebook – 1
  • Basic understanding of softwares & programming language used.[DAY 3 Part 1]
    17:27
  • Jupyter Notebook Video – 1[DAY 3 Part 2]
    50:37
  • Jupyter Notebook – 2
  • Jupyter Notebook Video – 2 [DAY 4]
    53:16
  • Jupyter Notebook – 3
  • Jupyter Notebook Video – 3[DAY 5 PART 1]
    9:45
  • Jupyter Notebook Video – 3[DAY 5 PART 2]
    1:14:08
  • Jupyter Notebook – 4
  • Jupyter Notebook Video – 4[DAY 6]
    37:00
  • Python programming QUIZ 1[DAY 7]

Understanding Modules, Exception Handling and Database Operations

  • Jupyter Notebook – 5
  • Jupyter Notebook Video – 5[DAY 8]
    51:44
  • Take Risks & Try Unless Your Dreams Are Achieved >>
    10:05

Data Analysis Using Python
The sessions present under this topic will help you fine tune your skills of python and imply them in doing data manipulations which is essentially required before implying machine learning algorithms.

  • Numpy Code File
  • Numpy Introduction[DAY 9]
    16:00
  • Numpy Code Video-1[DAY 9 PART 1]
    58:39
  • Numpy Code Video-2[DAY 9 PART 2]
    38:52
  • Pandas Code File
  • Pandas Code Video-1[DAY 10 PART 1]
    34:49
  • Pandas Code Video-2[DAY 10 PART 2]
    38:26
  • Data Exploration Using Matplotlib Code File
  • Data Exploration Code Video[DAY 11]
    1:09:23
  • Data Analysis QUIZ – 2

Introduction to Spyder IDE

  • Discipline Is Everything >>
    8:11
  • Understanding & Working with Spyder IDE[DAY 12]
    38:00

Machine Learning Algorithms and Model Creation

  • Chase your greatness >>
    10:53
  • Introduction to ML Video[DAY 13]
    48:56
  • Live Coding Project 1[DAY 14]
    1:29:57
  • Project 1 Documentation – Linear Regression[DAY 15]
    53:57
  • Introduction Project – 2[DAY 16 PART 1]
    7:40
  • Live Coding – Logistic Regression Project – 2[DAY 16 PART 2]
    53:13

Main Project And Post Internship Support

  • Your Sci-Fi Main project intro[DAY 17 PART 1]
    17:18
  • Libraries & Packages installation[Day 17 PART 2]
  • Main project coding part – 1[DAY 18]
    29:10
  • Main project coding part – 2[DAY 19]
    24:32
  • Main project coding part – 3[DAY 20 PART 1]
    31:50
  • Your Sci-fi project running live[DAY 20 PART 2]
    11:31
  • Understanding[DAY 21]
    22:55
₹23000

Material Includes

  • Additional queries ? Watch our FAQ video on our home page or whatsapp Us. We'll reach you back
  • +91 99644 83 843
  • +91 74833 00 668
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