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Machine Learning: Beginners Guide by Prashant Sir

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Welcome to the Machine Learning Course by Prashant Sir, your gateway to mastering the transformative field of machine learning (ML). This comprehensive course offers a structured curriculum, hands-on projects, and expert guidance to help you become proficient in ML concepts and techniques.

What You Will Achieve:

Data Structures Proficiency:You will gain proficiency in using Python’s built-in data structures like lists, tuples, dictionaries, and sets, and understand when and how to use them effectively.
Object-Oriented Programming Skills You will learn about classes, objects, inheritance, encapsulation, and polymorphism, enabling you to design and implement object-oriented solutions in Python.
Problem-Solving Skills: Through practice and exercises, you will enhance your problem-solving skills, which are essential for writing efficient and effective Python code.
Understanding of Programming Concepts:You will grasp fundamental programming concepts such as variables, data types, control flow, and functions, which are applicable in any programming language.

What You’ll Learn:

Foundations of Machine Learning:Gain a solid understanding of ML fundamentals, including supervised, unsupervised, and reinforcement learning.
Expert Instruction: Learn from Prashant Sir, an experienced instructor with a passion for demystifying ML concepts and empowering learners.
Practical Skills:Gain the confidence to write and execute simple C programs to perform tasks such as input/output operations, arithmetic calculations, and conditional operations.
Career Opportunities:Develop practical skills in data preprocessing, ensuring you’re equipped to tackle real-world ML challenges.
Familiarize Yourself with Debugging: Explore career paths in data science, machine learning engineering, AI research, and more, with guidance on building a successful career in the ML industry.

Who this course is for

Beginners with No Prior Experience:Individuals who are new to programming and eager to learn the fundamentals from scratch.
Students Pursuing Computer Science or Related Fields:Undergraduate or graduate students enrolled in computer science, software engineering, or related programs who seek supplementary learning resources to reinforce their academic studies.
Self-taught Programmers: Individuals who have already dabbled in programming through self-study or online tutorials and now seek structured guidance to deepen their understanding and fill in any knowledge gaps.
Junior Developers: Entry-level programmers who have some basic experience with coding but wish to expand their skill set and improve their proficiency in specific programming languages or frameworks.

Our Instructor

Prashant Jha Sir

Mr. Prashant Jha is the Technical Training Head at Campus Credentials, bringing over 7 years of experience as a Senior Programmer to the table. He possesses expertise in Machine Learning and Deep Learning technologies, having developed solutions like Data Governance Framework, CRM, Workflow, Client Reporting, and Web Application Development. Transitioning from a Technical Trainer to roles like Business and Data Analyst, Prashant Sir’s positive attitude and effective communication skills have been instrumental in fostering relationships across organizations. Throughout his diverse career, Mr. Prashant has made significant contributions, showcasing not only technical proficiency but also a keen understanding of business dynamics.


For more such resources and Practise Interview Questions refrences,do visit Algorithms Notes by Career Credentials
Prepare yourself to delve into our resource portal, Prepcrazy featuring programming notes, informative books, interview question sets, coding platforms, and much more. Feel free to explore it whenever you can!

What is the prerequisite knowledge required to enrol in this course?
This course is designed for beginners with no prior knowledge of machine learning. However, familiarity with basic programming concepts in Python would be beneficial
How will this course benefit me in my career?
By completing this course, you'll gain a solid foundation in machine learning concepts and techniques. This knowledge can open doors to various career opportunities in data science, machine learning engineering, AI research, and more.
Will I receive a certificate upon completion of the course?
Yes, upon successful completion of the course and its projects, you will receive a certificate of completion. This certificate can be a valuable addition to your resume and LinkedIn profile.
How much time should I dedicate to the course each week?
The course is self-paced, allowing you to progress at your own speed. However, to get the most out of it, we recommend dedicating a few hours each week to watch lectures, complete assignments, and work on projects.