AI & Machine Learning

Instructor: Prof. Rajanikanth
Lectures: 11
Quizzes: 4
Students: 3
Duration: 10 weeks

AppsTek’s Data Science courses will introduce complete life cycle concepts such as planning, cleaning data, data analysis, modelling and finally deployment, maintenance and optimization. Mining of massive datasets, Predictive Model Building, Data Visualization will create ambient environment leading to measurable learning for the student.

Data Science is a field that combines mathematics, statistics, core programming, numerical scientific computations, visualization and applies scientific methods to business domains or problems like predicting future customer behaviour, sentiment analysis or recognize speech patterns.

AppsTek has studied market conditions as well as the quality of the training offered by several – both in a formal and unorganized way.

Overview 0/2

In this section we'll show you how this course has been structured and how to get the most out of it. We'll also show you how to solve the exercises and submit quizzes.
- Lecture 1.1
  
  Introduction to Programming – Part 6
  Preview
  
  30m
- Lecture 1.2
  
  Installation and Set-Up – Part 6
  Preview
  
  5m
Basics 0/9

In this section you'll learn some basic concepts of programming languages and how to use them. You'll also learn how to write clean code using different code editors and tools.
Advanced 0/4

In this section you'll learn some core concepts of Object Oriented Programming. You'll also learn how to structure the data, debug and handling exceptions.
Conclusion 0/1

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type.
- Lecture 4.1
  
  Errors and Exceptions – Part 6
  
  45m

Prof. Rajanikanth

IoT & Data Science Expert

Rajanikanth is an experienced IoT solution architect and core programmer has 20+ years of experience in Embedded System, Data Analysis and Teaching. He has been involved in Architecture, Design, Development, Testing and Documenting for various functionalities of RTOS, IETF and ITU-T Protocols and device drivers. Turn around start up specialist capable of quickly adapting to changing requirements. particularly strong relationship management, team building, and general business acumen; verifiable track record of success driving unprecedented revenue and profitability gains within highly competitive organizations, industries, and markets.

Srirama Krishna

Lead Architect. AWS and DevOps Expert

18 years of experience in Project Management, Software Architecture, Team Management and Trainings & Mentoring. Proficient in end-to-end development of software products / projects from inception, requirement specs, planning, designing, implementation, configuration management & documentation. Rich experience in project management activities with insightful knowledge of analysis, design, development, testing, configuration management and training. Domain expertise lies in CRM, Digital Media Services, e-Commerce and Telecom sector. Actively involved in guiding large and medium size teams, mentoring team members. Demonstrated excellence in architecture, design, development of framework and user interfaces for various products that not only facilitated development efforts but also made the product truly friendly to customer. Significant experience of working with customers, Project Managers and Technical Teams for securing & executing concurrent projects. Possesses ability to relate to people at any level of business and management.

Suneel Kumar

Big Data Expert

Suneel Kumar is an experienced Big data solution architect and has 13 + years of experience in Information Technology including more than 8years in Hadoop. He has been involved in planning, Analysis, Design, Development, Maintenance and Documentation for various functionalities of Data Warehouses and Data Marts as well Bigdata. Excels at identifying and implementing cost-effective solutions. Lifelong learner, taking pride in staying at the cutting edge of technical know-how on cloud stack.