Contents
What you will learn ?
- Learn how to use NumPy, to do fast mathematical calculations in machine learning.
- Learn what is Machine Learning and Data Wrangling in machine learning.
- Learn how to use scikit-learn for data-preprocessing in machine learning.
- Learn different model selection and feature selections techniques in machine learning.
- Learn about cluster analysis and anomaly detection in machine learning.
- Learn about SVMs for classification, regression and outliers detection in machine learning.
Advanced Usage Of Excel 2023 Course Includes
- 7 hours on-demand video
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Requirements
- Basic knowledge of scripting and programming
- Basic knowledge of python programming
Description
If you’re interested in starting a career in Machine Learning, this course is perfect for you.
The course is designed to teach you everything about Machine Learning, from basics to advanced topics. It’s divided into 5 parts:
- Introduction & Data Preparation for Machine Learning
- Linear Models, Trees & Data Preprocessing
- Evaluating Models, Selecting Features & Creating Pipelines
- Exploring Bayes, Nearest Neighbors & Clustering
- Using SVM, Handling Anomalies, Imbalanced Classes & Ensemble Methods
Each lecture includes code examples, which you can find on GitHub.
The instructor is an experienced professional who has taught and consulted for various companies. They’ve shared their knowledge to help you understand Machine Learning thoroughly.
Machine Learning is crucial for powering AI and robots. It lets us create programs that adapt to new tasks efficiently.
Reasons to consider a Machine Learning career:
- Future-Proof Skill: Machine Learning is growing, and experts are in demand.
- Solve Real Challenges: You’ll tackle practical issues, making a real impact.
- Continuous Learning: Being in this field early lets you stay up-to-date.
- Promising Career Path: As technology advances, your experience will be valuable.
- Lucrative Salaries: Machine Learning engineers earn well due to industry growth.
- Versatile Opportunities: Machine Learning skills open doors to data science too.
Machine Learning is happening now. Getting involved early sets you up for a successful career as the field continues to grow.
Who this course is for:
- Beginners who want to become a data scientist
- Software developers who want to learn machine learning from scratch
- Python developers who are interested to learn machine learning
- Professionals who want to start their career in Machine Leaning
Frequently Asked Questions
1. What does the course cover? This course covers all aspects of machine learning, from basics to advanced topics. It’s divided into five parts: Introduction & Data Wrangling, Linear Models & Trees, Model Evaluation & Pipelining, Bayes & Clustering, and SVM & Ensemble Methods.
2. Who is the instructor? The instructor is a professional trainer and consultant with expertise in various programming languages, Big Data technologies, and machine learning. They’ve taught at major companies like GE, IBM, Cisco, and more.
3. Why consider a career in Machine Learning?
- Future Skill Demand: Machine learning is in high demand, offering secure career prospects due to a shortage of skilled professionals in the field.
- Real-world Impact: As a Machine Learning Engineer, you’ll solve real business challenges, leading to satisfying work and meaningful contributions.
- Continuous Growth: Being an early adopter lets you stay updated with trends, increasing your value in the job market.
- Career Progression: As the field evolves, your experience will position you for a successful and upward career trajectory.
- Lucrative Salary: Machine Learning engineers earn attractive salaries, with potential for growth as the industry expands.
- Versatility: Machine learning skills can also open doors to roles in data science, broadening your career horizons.
4. Why start early in Machine Learning? By getting involved in machine learning now, you gain an advantage in understanding and using the technologies shaping the field. Your skills will be in higher demand, ensuring a continuously rising career path.
5. How can Machine Learning benefit the future? Machine learning powers AI and has applications in robotics and various industries. It allows quick adaptation to new tasks and environments, making processes efficient and effective.
Price & Validity
Actual Price : Rs.1699/-
After 100% Discount : Rs.0/-
Valid for First 1000 Users or till the last date. Hurry up before it closes
Note : Udemy Courses listed here are offered FREE only for first 1000 users or are limited by a date. If the 1000 users limit or last date is completed, the course becomes paid.
