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Master Thesis - Data Analytics, Machine learning and AI, Python, R
End to End support in Master Thesis (Statistics, Data Science, Analytics and Machine learning) using Python and R. This involves project understanding, Data exploration , Feature Engineering, Interpretation and building machine learning model
Location
Online via webcam
General info
Skills:
Age: | Adults (18-64 years old) |
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Student level: | Beginner Intermediate Advanced |
Duration: | 60 minutes |
The class is taught in: | English |
About Me
I have been teaching analytics and data science for last 10 years with expertise in Machine learning and Deep Learning. The teaching is in layman's term so anyone can understand. Experience in open source tool like python.Education
Masters in Statistics and Data Science (Machine learning and Deep Learning).Experience in Statistical software and open source like (Python , R , SPSS , SAS etc)
Experience / Qualifications
16 years of Industry and 10 years of teaching experience. Hands on experience in python, R and Machine learning and deep learningReviews (2)
Srinivas was really patient and clear in explaining me statistic concepts and the use of R. I highly recommend him.
Srinivas is a skilled tutor. He is patient and has a problem-solving attitude.
Shriniva's goal is that students master the subject.
An excellent tutor for someone that wants to work hard and become independant user.
I specialize in teaching Hands on Machine learning with Python. I can teach with real case studies and in layman's language.
This class is for the candidates aspiring to learn data science or having problem with their projects or any other work.
Hi I am an experienced trainer and professional with experience in teaching statistics, analytics , data science and machine learning . This will cover from basics to advance. I am skilled in teaching in layman language . Using R and Python
I specialize in teaching statistics, Python, Data science. This class is for Phd (final year) thesis writing with analysis, Data science aspirants.
All the courses will be taught in layman's language. The course will be easy for even college student.
This course explores the exciting field of Generative Artificial Intelligence (Generative AI), focusing on the development and application of algorithms that can generate new and meaningful content. Generative AI has gained prominence for its ability to create realistic images, texts, and even music, leading to transformative advancements in various industries. The course provides a comprehensive overview of the key concepts, techniques, and applications within the realm of Generative AI.
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from C$174.63Online via webcam
100% Satisfaction Guarantee
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Online reputation
- Instructor since May 2019
- Phone number verified
- Google connected
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from C$174.63Online via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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Duration :
- 60 minutes: intensive format to learn fundamental concepts.
- 90 minutes: In-depth format with more time for practical examples and interactive questions.
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Educational objectives
At the end of the course, participants will be able to:
1. Understand the basics of programming, including the concepts of variables, data types, conditional structures, and loops.
2. Write and run simple Python scripts.
3. Manipulate inputs and outputs to interact with the user.
4. Solve practical problems with short, functional programs.
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Course syllabus
1. Introduction (10-15 min)
- Presentation of Python: Why this language?
- Installation and configuration of a programming environment (IDLE, Visual Studio Code, or Jupyter Notebook).
- First program: *"Hello, World!"*.
2. Python Basics (20-30 min)
- Variables and data types (integers, strings, lists).
- Mathematical operations and data manipulation.
- Conditional structures (if/else) and loops (for/while).
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- Write a program to calculate the sum of two numbers provided by the user.
- Create a simple application, like a currency converter or password generator.
- Bonus for 90 min format: Fixed a more complex issue involving lists or loops.
4. Q&A and conclusion (5-10 min)
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- Suggestions for resources to continue learning.
- Feedback on the course.
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Teaching methodology
- Interactive and engaging: the course combines theoretical explanations with practical exercises.
- Personalized approach: Sessions are tailored to the needs of participants. Students are encouraged to ask questions at any time.
- Learning by doing: examples and exercises are designed to help you assimilate concepts quickly.
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Target audience
This course is ideal for:
- Complete beginners in programming.
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Benefits of this online course
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