Since October 2024
Instructor since October 2024
Introduction to Python Programming and Machine Learning Basics
From 28.82 C$ /h
Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning.
Course Highlights:
Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code.
Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks.
Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data.
Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance.
Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor.
Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python.
Join us and embark on an exciting journey into the realm of programming and machine learning!
Course Highlights:
Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code.
Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks.
Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data.
Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance.
Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor.
Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python.
Join us and embark on an exciting journey into the realm of programming and machine learning!
Location
At student's location :
- Around Manchester, United Kingdom
Online from United Kingdom
About Me
I believe I have several key skills that make me an effective tutor. First and foremost, I have a strong proficiency in Python and machine learning, which allows me to explain complex concepts clearly and effectively. My experience in tutoring has also equipped me with the ability to tailor my teaching methods to different learning styles, ensuring that I meet each student’s unique needs.
I pride myself on being patient and empathetic. I understand that learning can be challenging, and I always strive to create a supportive environment where students feel comfortable asking questions and expressing their difficulties. This helps them gain confidence in their abilities.
Strong communication is another skill I bring to the table. I focus on conveying information in an accessible way, making it easier for my students to grasp difficult topics. I also have solid problem-solving abilities, which allow me to help students navigate obstacles in their learning journey.
I genuinely care about my students' progress, and I often go the extra mile to provide additional resources and support. This builds trust and encourages them to engage more deeply with the material. Additionally, my organizational skills enable me to plan and structure lessons effectively, keeping students engaged and on track.
Overall, I believe these skills contribute to my ability to provide valuable guidance and support, helping students succeed in their learning journeys.
I pride myself on being patient and empathetic. I understand that learning can be challenging, and I always strive to create a supportive environment where students feel comfortable asking questions and expressing their difficulties. This helps them gain confidence in their abilities.
Strong communication is another skill I bring to the table. I focus on conveying information in an accessible way, making it easier for my students to grasp difficult topics. I also have solid problem-solving abilities, which allow me to help students navigate obstacles in their learning journey.
I genuinely care about my students' progress, and I often go the extra mile to provide additional resources and support. This builds trust and encourages them to engage more deeply with the material. Additionally, my organizational skills enable me to plan and structure lessons effectively, keeping students engaged and on track.
Overall, I believe these skills contribute to my ability to provide valuable guidance and support, helping students succeed in their learning journeys.
Education
University of Manchester (Msc Artificial Intelligence)
Having completed my master’s degree in artificial intelligence, I’ve developed a solid understanding of machine learning and related technologies. This advanced education has given me the opportunity to dive deep into various algorithms, techniques, and applications, which has really sharpened my skills in the field.
Having completed my master’s degree in artificial intelligence, I’ve developed a solid understanding of machine learning and related technologies. This advanced education has given me the opportunity to dive deep into various algorithms, techniques, and applications, which has really sharpened my skills in the field.
Experience / Qualifications
Msc Advanced computer science, BTech Computer Engineering.
During my B.Tech degree in computer engineering, I gained a comprehensive understanding of various aspects of computing and technology. The program provided a solid foundation in computer science principles, hardware architecture, and software development, which helped shape my technical skills.
Throughout my studies, I engaged with a wide range of machine learning frameworks and tools, allowing me to gain hands-on experience with real-world projects. This practical knowledge has been invaluable, as I can apply theoretical concepts to practical situations. I’ve also explored topics like neural networks, natural language processing, and data analysis, which have further enhanced my understanding of how these technologies work together.
During my B.Tech degree in computer engineering, I gained a comprehensive understanding of various aspects of computing and technology. The program provided a solid foundation in computer science principles, hardware architecture, and software development, which helped shape my technical skills.
Throughout my studies, I engaged with a wide range of machine learning frameworks and tools, allowing me to gain hands-on experience with real-world projects. This practical knowledge has been invaluable, as I can apply theoretical concepts to practical situations. I’ve also explored topics like neural networks, natural language processing, and data analysis, which have further enhanced my understanding of how these technologies work together.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Student level
Beginner
Intermediate
Duration
60 minutes
The class is taught in
English
Availability of a typical week
(GMT -05:00)
New York
Online via webcam
At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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