Course Overview

Bestway is one of the renowned names in the domain online Training, offering one of the most comprehensive and career-oriented Machine Learning Course at Bangalore, India. Learners will be getting in-depth knowledge and experience in the highly enviable theories of Python Programming such as supervised and unsupervised learning, chance, statistics, decision tree, arbitrary woods, linear and logistic regression, and a good deal more through this instruction. Successfully completing this training course will equip you with all the skill sets related to Statistics, Time Series, and distinct types of Machine Learning algorithms.

Bestway Machine Learning online training can help You develop the skills and knowledge needed for a career as a Machine Learning Engineer. You will gain in-depth knowledge on each of the concepts of machine learning including supervised and unsupervised learning, algorithms, support vector machines, etc., during real-time business use cases, and this can help you in clearing the Machine Learning Certification Exam.

Bestway course on Machine Learning, that is just one of the very best Machine Learning Courses is made by industry professionals which can help you get the best jobs in high MNCs. Included in this ML Online training, you'll be engaged in real-time jobs and duties that have huge implications in real-world industry scenarios. This way, you can expedite your livelihood smoothly.

In the end of This ML certificate training class, you will discover a score test which perfectly reflects the type of questions asked in the Machine Learning Certification exam, it will likewise help get a higher score.

Bestway Course (after expert review) and upon scoring at least 60 percent on the quiz.

What are you going to learn in this Machine Learning course in Bangalore?

Bestway is among the premier Machine Learning Institutes in Bangalore provides a world class course on Machine Learning in online training which you can learn:

 

• Basics of using data to train machines
• Artificial neural network concepts
• Numerous variables in linear regression using Python
• Classifying data in logistic regression with Python
• K-Nearest Neighbour calculations
• Data Modelling
• Decision Tree Classifier

Listed below are the essential skills that users will gain upon completion of the training course:

• Representation of an artificial neural network
• Fundamentals of using information to train machines
• Logistic regression for classifying data with R
• Designing of a machine learning method
• Principle Component Analysis of data simulating
• Support Vector Machines calculations
• Linear regression with multiple variables using R

 

 

Why should I find out a Machine Learning course from Bestway?

• Bestway provides complete Machine Learning online training via Hands-on jobs and case studies. Some of the Numerous reasons for picking Bestway ML course comprises:
• You will learn various theories like Machine Learning using
• This class covers real time ML jobs and incremental tasks That are highly pertinent to this corporate world, in addition to a program for this program, are made by industry specialists
• Our Machine Learning certification will Make It Possible for you to compete for your own Highest salary for a number of the top positions from the world's top MNCs
• We provide life access to movies, class materials, 24/7 Learning support and free updates to the most recent version.

Bestway Technologies Certification is Licensed by most significant worldwide Businesses around the globe. We provide after completion of their theoretical and practical sessions to fresher's as well as corporate trainees. Our certificate at Besant Technologies is accredited worldwide. It increases the value of your resume and you will achieve major job Posts with the assistance of this certification in top MNC's of the planet. The Pragmatic based jobs.

Course Curriculum

Machine Learning course:

Module 1: Introduction to Machine Learning

• Introduction to machine learning and its applications
• Types of machine learning: supervised, unsupervised, and reinforcement learning
• Supervised learning algorithms: linear regression, logistic regression
• Evaluation metrics for machine learning models

Module 2: Linear Regression

• Introduction to linear regression
• Simple linear regression
• Multiple linear regression
• Evaluating regression models
• Regularization techniques: L1 and L2 regularization

Module 3: Classification Algorithms

• Introduction to classification algorithms
• Logistic regression
• Decision trees and ensemble methods (bagging, boosting, random forests)
• Support Vector Machines (SVM)
• Evaluation metrics for classification models

Module 4: Unsupervised Learning

• Introduction to unsupervised learning
• Clustering algorithms: K-means, hierarchical clustering
• Dimensionality reduction techniques: PCA (Principal Component Analysis)
• Anomaly detection techniques

Module 5: Neural Networks and Deep Learning

• Introduction to neural networks
• Feedforward neural networks
• Activation functions and loss functions
• Backpropagation algorithm
• Introduction to deep learning and deep neural networks

Module 6: Convolutional Neural Networks (CNN)

• Introduction to CNNs
• Convolutional layers, pooling layers, and fully connected layers
• Training CNNs for image classification
• Transfer learning and fine-tuning with CNNs
• Object detection and localization using CNNs

Module 7: Recurrent Neural Networks (RNN)

• Introduction to RNNs
• Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU)
• Training RNNs for sequence data
• Language modeling and text generation with RNNs
• Sentiment analysis using RNNs

Module 8: Model Evaluation and Validation

• Cross-validation techniques
• Bias-variance tradeoff
• Hyperparameter tuning and grid search
• Evaluation metrics for regression and classification models
• Overfitting and underfitting

Module 9: Feature Engineering and Selection

• Importance of feature engineering
• Handling missing data and outliers
• Feature scaling and normalization
• Feature selection techniques: filter methods, wrapper methods, embedded methods
• Feature extraction techniques

Module 10: Deployment and Productionization

• Model deployment strategies
• Model serialization and deserialization
• Web service APIs for model deployment
• Monitoring and updating deployed models
• Ethical considerations and fairness in machine learning

Please note that the course content can be customized based on specific requirements, the depth of knowledge desired (introductory, intermediate, advanced), and the duration of the course. Additionally, additional modules or topics can be included to cover specialized areas such as natural language processing, time series analysis, reinforcement learning, or advanced deep learning architectures.

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Reviews

Machine Learning Rated 4.8 based on 5 reviews.

By: Manohar, Rating:
My self Manohar, my expectations were exceeded by the machine learning training by Bestway! The trainer were knowledgeable and interesting, providing clear explanations and examples from real-life situations. The hands-on projects were tough but gratifying, allowing me to put what I had learnt into practice. Overall, it was a fantastic training that vastly improved my grasp of machine learning.

By: Rayan, Rating:
This machine learning training is well worth the money! The professors are industry professionals who offer real-world expertise to the classroom. From regression and classification to deep learning and neural networks, the course covers a wide range of topics. I was kept engaged and motivated by the interactive lectures and coding activities. This training dramatically expedited my comprehension of machine learning, in my opinion.

By: Hemanth, Rating:
The professors are enthusiastic and knowledgeable, making complex ideas simple to grasp. My understanding was strengthened by the interactive exercises and quizzes. The course also includes a helpful online community where I could seek advice and connect with other students. I really suggest this course to anyone interested in learning more about machine learning.

By: David, Rating:
Machine learning training from bestway technologies gave a solid foundation in the core algorithms and machine learning techniques. The hands-on coding tasks were both tough and gratifying, allowing me to gain real experience. Throughout, the instructors were helpful and provided useful comments. I like how the course emphasised both theory and application, providing a well-rounded learning experience.

By: Karthika, Rating:
This machine learning course was created with novices in mind, and it provides a gentle introduction to complicated ideas. The step-by-step explanations and practical examples aided me in quickly grasping the concepts. The lesson also included interactive visualizations, which helped to make abstract topics more concrete. I loved the courses flexibility, which allowed me to learn at my own pace. I really suggest this course to anyone who is new to machine learning.

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