4Achievers is a leading Machine Learning Training institute in Ghaziabad, providing world-class education and practical experience in machine learning. With a well-structured curriculum and expert trainers, we focus on delivering the latest industry-relevant content and hands-on learning. Our comprehensive Machine Learning Training in Ghaziabad helps students develop a deep understanding of machine learning algorithms, data analysis, and predictive modeling, making them job-ready in a rapidly growing field.
Our training program is designed for both beginners and professionals. The course includes live projects, expert mentoring, and ample opportunities to work with the latest tools and technologies used in machine learning. We aim to build a strong foundation in machine learning while preparing you for real-world challenges.
Feature | Details |
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Training Mode | Online and Offline Classes Available |
Project Work | Live Project Work and Hands-on Training |
Duration | 2-3 Months (Flexible timings) |
Industry Tools | Python, TensorFlow, Keras, Scikit-Learn, etc. |
Placement Rate | 90%+ Placement Success |
Company | Position | Package |
---|---|---|
Tata Consultancy Services | Machine Learning Engineer | 8 LPA |
Accenture | Data Scientist | 7 LPA |
Infosys | Machine Learning Analyst | 6 LPA |
Facility | Description |
---|---|
Dedicated Machines | Latest systems with required software |
Software Tools | Python, R, Jupyter, TensorFlow, and others |
Internet & Wi-Fi | High-speed internet for seamless learning |
With Machine Learning Training in Ghaziabad at 4Achievers, you will have access to cutting-edge tools, expert guidance, and a vibrant learning environment. Join now and take your first step toward a rewarding career in machine learning!
At 4Achievers, a leading Machine Learning Training institute in Ghaziabad, we implement agile methodologies to ensure that our students not only learn machine learning concepts but also develop the necessary skills to work in real-world environments. Our agile approach emphasizes collaboration, flexibility, and continuous improvement, enabling students to stay aligned with industry standards and best practices.
Agile in the context of machine learning training refers to the iterative process in which learning modules are introduced, reviewed, and improved upon regularly. Instead of rigid, fixed curricula, we focus on delivering a practical, hands-on learning experience where students adapt, experiment, and improve their skills as they go.
Agile Activity | Description |
---|---|
Sprint Planning | Break down the course into smaller modules, focusing on real-world applications. |
Daily Standup | Brief meetings where students discuss progress, share challenges, and ask for guidance. |
Retrospectives | Review the progress, share feedback, and improve the process for the next cycle. |
Project-based Learning | Apply concepts like supervised learning, unsupervised learning, and deep learning in live projects. |
Week | Agile Activity | Focus Area |
---|---|---|
Week 1 | Sprint Planning, Standups | Introduction to ML, Python basics, Data preprocessing |
Week 2 | Daily Standups, Sprint Review | Supervised learning techniques, Model Evaluation |
Week 3 | Retrospective, Pair Programming | Unsupervised learning, K-means, clustering |
Week 4 | Sprint Planning, Review | Deep Learning, Neural Networks |
Week 5 | Review and Retrospective | Model Deployment, Flask API Integration |
At 4Achievers, we provide an ideal environment for learning Machine Learning Training in Ghaziabad. Our agile training methods will ensure that you gain the technical and collaborative skills required to succeed in the rapidly-evolving field of machine learning.
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We think that knowledge is power, and we want to give you the tools you need to achieve your goals. So be sure to check out our website frequently for the latest Course Program and Syllabus!
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Are you looking for an opportunity to learn Machine Learning? 4achievers is offering a comprehensive Machine Learning course in Ghaziabad. This course is designed to help you understand the fundamentals of Machine Learning and equip you with the necessary skills to apply it in your projects.
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4Achievers 4achievers Machine Learning training institute in Ghaziabad offers a comprehensive course to help students gain a global course certificate and placement in the field of Machine Learning. 4Achievers course includes various learning activities such as lectures, hands-on activities, and projects. 4Achievers lectures cover topics such as Machine Learning algorithms, data pre-processing, feature engineering, model selection, and evaluation. 4Achievers hands-on activities include building and evaluating models using popular Machine Learning libraries such as Scikit-Learn, TensorFlow, and Keras. 4Achievers projects involve building end-to-end Machine Learning systems from data collection to model deployment.
In addition to the lectures and hands-on activities, the 4achievers Machine Learning training institute in Ghaziabad also provides students with a wide range of Machine Learning books to help them gain a deeper understanding of the subject. Popular books include “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron, “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, “Python Machine Learning” by Sebastian Raschka, and “Machine Learning: A Probabilistic Perspective” by Kevin P. Murphy.
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Classification and regression are two of the most common types of machine learning tasks. Classification assigns a particular label or class to an instance, while regression attempts to predict a continuous value from an input. Classification models are trained to make a prediction based on a set of features, while regression models use a set of feature inputs to predict a continuous value. Classification models are used for tasks such as predicting whether an email is spam or not, while regression models are used for tasks such as predicting the price of a house. Generally, classification models are used for discrete values, while regression models are used for continuous values.
Supervised learning is a type of machine learning algorithm where the model is given labeled data, which is used to teach the model how to make predictions. 4Achievers model is given a set of input data and expected output and is expected to learn how to map the inputs to the desired output. Unsupervised learning is a type of machine learning algorithm where the model is given unlabeled data to learn from. Unlike supervised learning, the model is not given the expected output, and is instead expected to identify patterns and relationships from the data on its own.
Machine Learning is used in predictive analytics to identify patterns and trends from large datasets. This can be used to make predictions about future events or to predict customer behaviour. 4Achievers uses algorithms to analyse data, extract insights and make predictions. 4Achievers can be used to analyse customer data to predict future purchases or to detect fraud in financial transactions. Machine Learning can also be used to predict industry trends or forecast stock prices and other financial data.
Machine Learning is often used for anomaly detection, which involves identifying unusual patterns or events that deviate from the normal. This can be done through the use of algorithms, such as supervised learning algorithms, which can be trained to recognize patterns in data. 4Achievers algorithm is then tested with a set of data that includes both normal and anomalous cases, allowing it to learn to differentiate between the two. Once trained, the algorithm can be used to detect anomalies in real-world data. Anomaly detection can be used in a variety of applications, such as detecting fraudulent transactions, identifying cyber-attacks, or monitoring medical conditions.
Supervised learning algorithms are given a set of labeled data that is used to train the algorithm. This data is used to create a model that can then be used to make predictions or classify new data. Unsupervised learning algorithms are given unlabeled data and must identify patterns or structure in the data without any guidance. This can be used to cluster data into groups or identify outliers in the data.
Supervised learning algorithms are used to train a model by providing labeled data and a set of pre-defined rules. 4Achievers model is then tested on new data to see how accurately it can predict the output. Reinforcement learning algorithms are used to optimize an agent's behavior in an environment by providing rewards or punishments for its actions. 4Achievers agent learns from its experiences to optimize the reward it receives and how to avoid punishments. In supervised learning, the model relies on the labeled data and the pre-defined rules to learn, while in reinforcement learning, the agent relies on its experiences to learn.
A Bayesian algorithm is a type of machine learning algorithm that uses Bayesian probability theory to make predictions. In comparison, a non-Bayesian algorithm is a type of machine learning algorithm that uses a different set of techniques to make predictions. Bayesian algorithms are based on Bayes’ theorem, which states that the probability of an event is the product of its prior probability and the likelihood of its observed data. Non-Bayesian algorithms, on the other hand, are based on alternative methods such as optimization, decision trees, or other heuristics. Bayesian algorithms are more robust and can adapt to changing circumstances better than non-Bayesian algorithms. They also require less data to make accurate predictions, as they are able to infer new information from the data they have. Conversely, non-Bayesian algorithms require more data in order to make accurate predictions.
Neural networks are a type of machine learning algorithm that are comprised of interconnected layers of artificial neurons. They are used to calculate outputs from inputs, and are typically used for classification and regression tasks. A convolutional neural network (CNN) is a type of neural network that is specifically designed to process data that has a grid-like structure, such as images. 4Achievers uses convolutional layers to extract features from the data and make predictions about it. CNNs are particularly well-suited for image recognition tasks. 4Achievers main differences between a neural network and a convolutional neural network are the types of data they can be used to process, and the types of architecture they use to process them.
Supervised learning is a type of machine learning where the algorithm is given labeled data and it is tasked with learning to map the input data to the correct output. 4Achievers data is typically labeled by a human, and the algorithm is given feedback on its accuracy. Unsupervised learning is a type of machine learning where the algorithm is given unlabeled data and is tasked with discovering patterns in the data. 4Achievers algorithm is not given any feedback on its accuracy, so it must rely on its own internal processes to determine the best outcome.
Regression and classification are two types of supervised machine learning algorithms. Regression is a technique used to predict a continuous dependent variable, such as a numerical value, based on one or more independent variables. For example, you could use regression to predict a person's weight based on their height, age, and gender. Classification, on the other hand, is a technique used to predict a categorical dependent variable, such as a class label. In this case, the model would predict the class a given observation belongs to, such as whether a given person is male or female. Classification is typically used when the output is a discrete value, such as a yes/no or true/false, whereas regression is used for predicting a continuous value.
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4Achievers instructors at 4Achievers are highly experienced in teaching Machine Learning Training Institute courses. They have all been thoroughly trained in the subject, and have a wealth of knowledge and experience to share with their students. They are able to provide a comprehensive understanding of the course material and ensure that their students have the necessary skills to excel in their chosen field. With their expertise and guidance, students can be assured of receiving the best quality of instruction and support they need to make the most of their learning experience.
4Achievers provides its Machine Learning Training Institute students with a variety of resources to help them learn and master the concepts of machine learning. These resources include online video tutorial classes, live webinars, practice tests, study guides, and instructor-led workshops. Additionally, students have access to a forum that provides a platform to ask questions and discuss topics related to machine learning. 4Achievers also provides its students with job assistance and career guidance to help them find the right career path.
4Achievers offers a variety of scholarships for its Machine Learning Training Institute courses. 4Achievers scholarships are provided to individuals who demonstrate financial need, academic excellence, or both. 4Achievers scholarships are awarded based on an individual's academic record, financial situation, and other criteria. To apply for a scholarship, applicants must submit a completed application form, official transcripts, and a personal statement. Scholarships are awarded to individuals who demonstrate a strong commitment to their studies. In addition to scholarships, 4Achievers also offers discounts and payment plans to help students pay for their courses. These payment plans are designed to make Machine Learning Training Institute courses more affordable and accessible to a wider range of individuals.
Yes, there is a refund policy for Machine Learning Training Institute courses at 4Achievers. 4Achievers institute offers a 14-day money-back guarantee after the course has been purchased. If the student is not satisfied with the course or has changed their mind, they can request a refund. In order to receive a refund, the student must contact 4Achievers within 14 days of purchasing the course and provide a valid reason for the refund request. 4Achievers institute will refund the full amount of the course within 5-7 business days. 4Achievers student should keep in mind that the refund policy does not cover any other fees, such as taxes or bank fees.
Yes, 4Achievers provides comprehensive guidance and support for its Machine Learning Training Institute students. 4Achievers experienced and knowledgeable trainers provide step-by-step guidance on each and every concept related to this field. 4Achievers also provide 24/7 online support, so that students can ask their queries and get them resolved quickly. Moreover, we also provide practice exercises and projects to help students gain hands-on experience and gain a better understanding of the topics. Additionally, we also provide post-training support for any doubts or queries related to the course.
4Achievers offers job placement assistance after the Machine Learning Training Institute. They provide personalized job search assistance and resources, such as resume building and interview preparation. They also provide access to job boards that list open positions in Machine Learning. Additionally, their team of career experts will help connect you with potential employers and provide you with valuable career advice. They even offer a referral program, which can help you land a job more quickly. Their team is committed to helping you find the right job for you and can provide you with a number of resources to make the process easier.
4Achievers provides comprehensive support for its Machine Learning Training Institute graduates. 4Achievers institute offers tailored courses that are designed to help its graduates stay abreast of the latest trends and technologies in the field of machine learning. 4Achievers provides access to experienced professionals and experts in the field, who can help guide the graduates in their learning journey. In addition, 4Achievers also offers technical support and guidance to its graduates, so they can make the most of their learning experience. They also provide hands-on experience to help graduates apply their newly acquired knowledge to real-world problems. Moreover, the institute offers career guidance and placement services for its graduates, allowing them to find jobs in the machine learning industry. Finally, the institute has a dedicated customer service team to provide assistance to its graduates, in case they have any queries or concerns.
Completing the Machine Learning Training Institute at 4Achievers can open the door to many exciting career opportunities. As machine learning is in high demand, companies across a variety of industries are looking for trained professionals who are capable of leveraging machine learning models and algorithms to improve business operations and processes. With the knowledge and skillset gained from the Machine Learning Training Institute, you can be eligible for a variety of positions in the technology field such as software engineer, data analyst, data scientist, AI engineer, and machine learning engineer.
These positions require different levels of experience and expertise, but those who have completed the Machine Learning Training Institute at 4Achievers are well equipped to apply for the roles. Additionally, you can use the skills acquired to pursue a career in research and development, where you can work on projects related to artificial intelligence and machine learning.
Overall, with the completion of the Machine Learning Training Institute at 4Achievers, you can gain access to a wide variety of career opportunities in the field of machine learning and artificial intelligence. 4Achievers knowledge and skillset you gain from this institute can be used to pursue various positions in the technology field and to contribute to the development and advancement of the field of machine learning.
To stay updated with the latest developments in Machine Learning after completing the Machine Learning Training Institute at 4Achievers, you can follow blogs, websites and social media accounts related to Machine Learning. You can also sign up for newsletters or join online communities and forums. You can attend conferences, seminars, and webinars to learn new technologies and methods. Additionally, you can read books, magazines, and online publications that discuss the latest trends in Machine Learning. Finally, you can participate in hackathons and competitions to test your skills and learn from others.
At 4Achievers, we understand that every student has unique needs when it comes to learning Machine Learning. That’s why we’ve tailored our Machine Learning Training Institute to provide tailored instruction and support for each individual learner. 4Achievers courses are designed to be flexible and adjustable to meet the specific needs of each of our students. 4Achievers provide an experienced team of instructors who have the skills and knowledge to help students learn at their own pace, in an environment that encourages collaboration and learning. 4Achievers also offer a range of additional resources to help our students get the most out of their training, including mentoring and support from our staff, access to online resources, and access to our network of industry experts. 4Achievers Machine Learning Training Institute is designed to provide an enriching and comprehensive learning experience that can be tailored to meet the specific needs of each student.
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Experience: 0 to 4 years Qualification:B.SC, B.Tech/BE/MCA Skills in one or more of JavaScript,CSS, Web application framework viz. Sencha EXT JS, JQuery etc., Delphi,C,C++,or Java..net,testing Cloud Administrator-managing Windows based Servers
Developing and deploying new applications on the windows azure PAAS platform using C#, .net core . Participation in the creation and management of databases like SQL server and MySQL Understanding of data storage technology (RDBMS, NO SQL). Manage applica
Experience of Dev Ops technologies, architectures and processes for 3 yrs Cloud Infrastructures Solutions: AWS EC2 ECS, S3 Cloudfront, RDS, Spot Instances, VPC, IAM, Security Groups, ELB etc), GCP, CI/CD Jenkins Containerization: Docker, Kubernetes System
Must have good knowledge of Google Cloud (GCP), Good To Have- AWS and. Azure Cloud automation, with overall cloud computing experience. Good knowledge of Windows Server and IIS (Internet Information Services). Good knowledge of .NET applications (ASP.Net,
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Design, execute and report software tests, Review business / software requirements and provide inputs. Prepare test cases, test scripts and test data., Execute tests (manual / automated). Report defects and assist in their understanding., Analyse test re
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