Welcome to the Advanced Machine Larning Strategies by Mr 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.
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.
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.
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.
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 references, do visit Algorithms Notes by Career Credentials
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Steps for Data Pre-processing :
1. Import Libraries
2. Import Dataset
3. Split data into i/p and o/p
4. Missing values
5. Converting categorical data
6. Splitting dataset for testing and training purpose
7. Feature scaling
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