Machine Learning Training

Softenant Technoloiges is one of the best insitute for Machine Learning Training in Vizag. Machine learning is one of the best course for future. It is one of the subfield of Artificial Intelligence.

This course covers super vised, unsupervised, refinforcement learning, regression techniques and clustering techniques. After completion of this course students will get complete knowledge on Machine Learning.

Who Should Take Machine Learning Course Training:

• One of the most innovative and rapidly expanding topics in technology is machine learning (ML). It's accelerating digital transformation throughout businesses, and as a result, there is a huge demand for experts in this field. The Vizag Machine Learning Course Training by Softenant has been carefully created to meet this specific need. For whom, though?
• 1. Aspiring Data Scientists and Machine Learning Engineers: 
• Softenant's ML training is a great place to start if you're eager to launch a career in one of these highly sought-after sectors. You will walk away from it with a thorough understanding of machine learning ideas and how they are used in practical situations.
• 2. Professionals Looking for Upskilling: 
• Are you a professional in a similar sector, such as a software engineer or data analyst, seeking to broaden your skill set? Upskilling is possible through the ML training at Softenant. It's intended to assist you in keeping up with the most recent developments in AI and ML, improving your marketability and competitiveness.
• 3. Researchers and Academics: 
• This course might serve as an excellent starting point for anyone working in academia or research who wish to learn more about machine learning and its possible applications. The knowledge you've obtained here can be put to use in your future research and instruction in the area of cutting-edge technology.
• 4. IT & Project Managers: 
• A thorough understanding of ML might be quite helpful if you're an IT or project manager who supervises or works with data science teams. With the knowledge you will learn from this course, you will be able to manage projects more skillfully and provide better results.
• 5. Students: 
• Enrolling in Softenant's ML course could give students seeking degrees in computer science, data science, or similar professions a considerable advantage.
• The course adds to your academic knowledge and provides real-world examples of ML application, allowing you to stay one step ahead of your competition in the cutthroat employment market.

Benefits of Machine Learning Training:

• Machine learning (ML) is a fast expanding science with a wide range of applications. The way we engage with the world is changing as a result of machine learning, from healthcare to banking, from e-commerce to agriculture. Several advantages come with enrolling in machine learning training in Visakhapatnam:
• 1. High Demand for ML Skills: 
• The need for qualified ML specialists is growing rapidly in today's labour environment. Industries are actively looking for people who have a thorough understanding of ML algorithms and their real-world uses.
• 2. Attractive Salary Prospects: 
• Compared to those in many other IT professions, professionals with ML skills frequently earn greater compensation. This illustrates how highly corporations value these in-demand abilities.
• 3. Diverse Career Opportunities: 
• ML training makes it possible to pursue careers in a number of different fields, including data science, artificial intelligence, data analysis, and software engineering. Roles are available in many different sectors, including IT, banking, healthcare, retail, and more.
• 4. Practical, Hands-On Experience: 
• Effective ML training gives students hands-on exposure to ML technologies and tools. You can use your knowledge in real-world situations in this way, which offers you an advantage in the job market.
• 5. Future-Proof Your Career: 
• Because ML is a major force behind the Fourth Industrial Revolution, it is a skill that will never go out of style. You may get ready for tomorrow's technological requirements by learning machine learning now.
• 6. Enhance Decision-Making Skills: 
• ML is about making predictions and conclusions based on data, which can help you make better decisions. Your capacity to make wise decisions in a variety of areas of your job and personal life can be improved by learning these abilities.
• 7. Interdisciplinary Skill Set: 
• The training that comes with machine learning is interdisciplinary. You'll pick up skills in programming, data analysis, statistics, and other areas that can be helpful in a variety of jobs.
• 8. Local Networking Opportunities: 
• By taking part in the Machine Learning Training in Visakhapatnam, you have the chance to meet others who share your interests locally. These connections may result in partnerships, employment opportunities, or just enlightening conversations about the subject.

Syllabus:

• What is Machine Learning
• History of Machine Learning
• Life cycle of Machine Learning
• How to Install Anaconda
• How to Get Datasets
• Data Preprocessing
• Types of Machine learning
• Supervised Machine Learning
• Unsupervised Machine Learning
• Reinforcement Machine learning
• Supervised vs Unsupervised Learning
• Regression Analysis
• Linear Regression
• Simple Linear Regression
• Multiple Linear Regression
• Polynomial Regression
• What is Classification
• Classification vs Regression
• Classification Algorithm
• Logistic Regression
• K-NN Algorithm
• Support Vector Machine Algorithm
• Naïve Bayes Classifier
• Linear Regression vs Logistic Regression
• Decision Tree Classification Algorithm
• Random Forest Algorithm
• Clustering in Machine Learning
• Hierarchical Clustering in Machine Learning
• K-Means Clustering Algorithm
• Apriori Algorithm in Machine Learning
• Confusion Matrix
• Cross-Validation
• Machine Learning vs Deep Learning
• Dimensionality Reduction Technique
• Overfitting & Underfitting
• Principal Component Analysis
• What is P-Value
• Regularization in Machine Learning
• Examples of Machine Learning
• Semi-Supervised Learning
• Essential Mathematics for Machine Learning
• Overfitting in Machine Learning
• Types of Encoding Techniques
• Feature Selection Techniques in Machine Learning
• Bias and Variance in Machine Learning
• Machine Learning Tools
• Gradient Descent in Machine Learning
• Precision and Recall in Machine Learning
• And more.