Machine Learning Course Training in Pune
Looking for a comprehensive Machine Learning course Training in Pune? The Machine Learning Training in Pune covers all the essential concepts of machine learning and AI, neural networks, decision trees, and many more.
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Batch Timing
- Regular: 2 Batches
- Weekends: 2 Batches
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Class Room & Online Training Quotation
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Key Features
Skill Level
Beginner, Intermediate, Advance
We are providing Training to the needs from Beginners level to Experts level.
Course Duration
90 Hours
Course will be 90 hrs to 110 hrs duration with real-time projects and covers both teaching and practical sessions.
Total Learners
2000+ Learners
We have already finished 100+ Batches with 100% course completion record.
Assignments Duration
50 Hours
Trainers will provide you the assignments according to your skill sets and needs. Assignment duration will be 50 hrs to 60 hrs.
Support
24 / 7 Support
We are having 24/7 Support team to clear students’ needs and doubts. And special doubt clearing sessions every week.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
Batch Schedule
DATE | COURSE | TRAINING TYPE | BATCH | CITY | REGISTER |
---|---|---|---|---|---|
30/12/2024 |
Machine Learning Courses Training in Pune |
Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
31/12/2024 |
Machine Learning Courses Training in Pune |
Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
28/12/2024 |
Machine Learning Courses Training in Pune |
Classroom / Online | Weekend Batch (Sat-Sun) | Pune | Book Now |
28/12/2024 |
Machine Learning Courses Training in Pune |
Classroom / Online | Weekend Batch (Sat-Sun) | Pune | Book Now |
Machine Learning Exams & Certification
SevenMentor Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.
Our certification at SevenMentor is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.
About Machine Learning
What is Machine Learning?
Machine learning is a variation on artificial intelligence (AI) technique that allows computers to acquire knowledge without manually programming them in their system. Machine learning algorithms are trained on data, and they use this data to make predictions or decisions.
Machine learning has applications across many areas, such as:
Predictive analytics: Machine learning can be used to predict future events, such as customer churn or product demand.
Fraud detection: Machine learning technologies and algorithms can be utilized to identify bogus transactions in the banking and retail sectors.
Risk management: Machine learning can be used to assess risk, such as the risk of a loan defaulting.
Medical diagnosis: Machine learning can be used to diagnose diseases.
Self-driving cars: Machine learning is used to help self-driving cars navigate the road safely.
There are numerous types of machine learning techniques, such as:
Supervised learning: In the context of supervised learning, an approach used by making the algorithm have training on previously annotated or labeled data. For example, the algorithm might be trained on a dataset of images that have been labeled as "cat" or "dog."
Unsupervised learning: In unsupervised learning, the algorithm is trained on data that has not been labeled. For example, the algorithm might be trained on a dataset of images without any labels.
Reinforcement learning: In reinforcement learning, the algorithm learns by trial and error. The algorithm is given a reward for taking actions that lead to desired outcomes.
Learn the Skills You Need for a Career in IT and AI industries:
Machine learning is one of the most in-demand skills in the world today. With the rise of artificial intelligence, businesses are looking for people who can build and deploy machine learning models. If you're interested in a career in AI, then a Machine Learning Course is a great way to get started. There are many different Machine Learning Classes available in Pune. However, one of the most popular ML courses is offered by SevenMentor Training Institute in Pune. Our course typically covers all the basics of machine learning, along with more advanced topics, such as deep learning and natural language processing. If you're looking for a comprehensive Machine Learning Session in Pune, then we are the best ML Training option. Our ML courses typically offer a more in-depth look at the theory and practice of several key techniques. On the better side we are also very less expensive and time-consuming than other Machine Learning Courses in Pune. So if you're looking for a more affordable and fastest option for a Machine Learning Course, then joining SevenMentor is a good option. Courses at SevenMentor Institute typically cover most aspects of machine learning in a shorter period of time with all the flexibility you need. Explore Interview Questions on Machine Learning with SevenMentor.
Here are some of the benefits of taking a machine learning course in Pune:
Learn From Experienced Professionals: The instructors at our machine learning course in Pune are experts in the ML AI field. They can share their knowledge and experience with you, helping you to learn the skills you need for a career in AI.
Get Hands-on Experience: SevenMentor’s machine learning classes offer great hands-on experience to every student. This means that you'll have the opportunity to work on real-world projects by yourself, giving you a valuable edge in the job market as soon as you finish our ML certification. Network with Other Professionals: Our training for Machine Learning is a great way to network with other professionals in this field. It will help you to find a job, collaborate on projects, and stay up-to-date on the latest trends in Machine Learning.
If you're interested in learning more about machine learning, then we encourage you to take a machine learning course at SevenMentor Institute. It is definitely a great way to learn the skills you need for a career in AI and to network with other professionals in the field.
Once you've completed a machine learning, you'll be well-positioned for a career in AI and ML industries. There are many different job opportunities available in this field, such as data scientist, machine learning engineer, and AI researcher. With the growing demand for AI skills, you're sure to find a job that's both challenging and rewarding. So join the best Machine Learning Certification Course in Pune and get ready for a solid growth in your career.
"Prompt Engineering for Machine Learning"
Prompt engineering is a fundamental component of leveraging machine learning models effectively, particularly in the realm of Natural language processing (NLP). It involves constructing precise and targeted input queries or commands to guide the model towards desired outputs.
Here are key principles in prompt engineering for machine learning:
1. Clarity and Precision: Prompts should be formulated with clarity and precision, leaving no room for ambiguity. Clear prompts help the model understand the task at hand accurately.
2. Task Relevance: The prompts should directly address the task or problem the model is expected to solve. Aligning prompts with the specific objectives ensures that the model focuses on generating relevant outputs.
3. Adaptation to Model Capabilities:Understanding the capabilities and limitations of the machine learning model is crucial. Prompts should be tailored to leverage the model's strengths while mitigating its weaknesses.
4. Context Awareness: Consideration of the context surrounding the data or problem enhances prompt effectiveness. Context-aware prompts enable the model to interpret and generate outputs that are contextually appropriate.
5. Iterative Refinement: Prompt engineering often involves an iterative process of experimentation and refinement. Data scientists may need to adjust prompts based on model performance and feedback to achieve optimal results.
6. Bias Mitigation: Conscious effort should be made to avoid introducing biases into the prompts, which could influence the model's outputs. Prompts should be crafted in a way that minimizes bias and promotes fairness.
Rise of Computer Learning:
The rise of computer learning is still in its early stages, but it has the potential to revolutionize many industries. As the technology continues to develop, we can expect to see even more amazing applications of machine learning in the years to come.
The rise of computer learning is a result of several factors, including:
The availability of large amounts of data: The amount of data available has exploded in recent years, thanks to the increasing use of sensors, cameras, and other devices that collect data. This data can be used to train machine learning algorithms.
The development of powerful computers: Computers have become much more powerful in recent years, which allows machine learning algorithms to be trained on large amounts of data.
The development of new machine learning algorithms: Researchers have developed new machine learning algorithms that are more accurate and efficient than previous algorithms.
The increasing availability of open-source software: There is a growing number of open-source software packages that make it easy to develop and deploy machine learning applications.
Get the best Machine Learning Certification in Pune:
Our Machine Learning certification is designed for professionals or students who want to develop, deploy, and manage machine learning models on various AI/ML platforms. Our Machine Learning Certification typically helps students earn higher salaries than those without certifications. According to industry statistics the average salary for a machine learning engineer with a certification is higher than for a machine learning engineer without a certification by almost 30 percent. So, if you are interested in a Machine Learning Classes in Pune, our ML certification can be a valuable asset for you. It can help you increase your job prospects, earn a higher salary, improve your skills, and access professional networks within this vast industry.
Online Classes
Online Machine Learning training in Pune provides an overview including working with Information that is real-time, and learn how to use Python in this Machine Learning to draw predictions from the information. Get enrolled for the most demanding skill. Learning Online Machine Learning course in Pune will make your career to a new height. SevenMentor Institute offers you a superb platform to learn and learn more about the subject from industry experts. Our Trainers deliver complete freedom to the students, to explore the subject and find out based on real-time illustrations. Our trainers help the candidates complete their projects and also prepare them for interview questions and responses.
Course Eligibility
- Candidates Who Want to be a Data Scientist, Big Data Analysists, Analytics Manager/Professionals, Business Analyst, Developer
- Graduates who are looking to create a career in Data Science and Machine Learning
- Employees – Organization is getting to shift to Big data tools
- Mid-level Executives
- Managers with knowledge of basic programming
Syllabus Machine Learning
-
Introduction
DataScience Vs DataAnalysis Vs MachineLearning Vs DeepLearning Introduction to Numpy, Pandas, Sci-kit Learn and Matplotlib Library Importing data from different Sources
- Traditional Programming Vs Machine Learning
- Types of Machine Learning Problems
- Supervised and Unsupervised Learning
- Classification and Regression
- Overfitting and Underfitting
- What is a point and a Vector?
- Distance between 2 points, Distance between point and a line.
- Equation of a line, Equation of a Plane, Equation of a hyper plane.
- Dot product and Projection of one vector onto another.
- Basics of Differentiation
- KNN(K nearest Neighbour) Algorithm
- Geometric Intuition of KNN
- Mathematical Intuition of KNN
- Limitations of KNN
- What are Hyper-parameters?
- Hyper-parameters Tuning
- Why do we need Cross-Validation?
- Code Walkthrough on KNN
- Naive Bayes algorithm
- What is Conditional Probability
- What is Naive about Naive Bayes?
- Geometric Intuition of Naive Bayes
- Mathematical Intuition of Naive Bayes
- Limitations of Naive Bayes
- Hyperparameter Tuning in Naive Bayes
- Code Walkthrough of Naive Bayes
- Introduction to Logistic Regression
- Geometric Intuition of Logistic Regression
- Mathematical Intuition of Logistic Regression
- Why do we need sigmoid function?
- Regularisation(L1 and L2)
- Limitations of Logistic Regression
- Code Walkthrough of Logistic Regression
- Introduction to Linear Regression
- Geometric and Mathematical Intuition
- Assumptions of Linear Regression
- Limitations of Linear Regression
- Code Walkthrough of Linear Regression
- Optimisation Theory
- Convex and Non Convex Functions
- Gradient Descent
- Stochastic Gradient Descent
- Introduction to SVM(Support Vector Machines)
- Geometric Intuition
- Mathematical Intuition
- Hard and Soft SVM
- Kernalisation in SVM(Radial Basis Function)
- Limitations of SVM
- Code Walkthrough of SVM
- Decision Tree
- Geometric Intuition of Decision Tree
- Mathematical Intuition of Decision Tree
- Entropy and Gini Impurity
- Information Gain
- Limitations of Decision Tree
- Code Walkthrough of Decision Tree
- What is Ensembles
- Bagging and Boosting
- What is Ensembles?
- Bagging and Boosting
- Concept of Bootstrapping
- Introduction to Random Forest
- Variance and Bias
- Geometric Intuition of Random Forest
- Why Random Forest is so famous?
- Code Walkthrough of Random Forest
- Performance Metric and Different
- Accuracy
- Why Accuracy as a metric will fail in most of the real world cases?
- Precision and Recall
- F1 Score
- Confusion Matrix
- Log-loss
- ROC-AUC Curve
- RMSE(Root Mean Square Error)
- R2(Coefficient of Determinant)
- MAD(Median Absolute Deviation)
- How to Handle Outliers in the data?
- How to deal with the imbalance data?
- How to handle categorial data?
- Scaling of Features
- Curse of Dimensionality
- What is Unsupervised Learning?
- What is Clustering?
- K-Means Clustering
- Hierarchal Clustering
- Why Dimensions Reduction?
- PCA(Principle Component Analysis)
- Business Problem
- Contraints
- Data Collection
- Formulate Business Problem to Machine Learning Problem
- Data Cleaning
- Data Preprocessing
- EDA(Exploratory Data Analysis)
- Modelling
- Evaluating the Performance of the models
- Retrain if necessary
- Deployment
Basic Terminologies and Basic Maths:
Supervised Learning Continues:
Supervised Learning Continues:
Decision Tree and Ensembles :
Situations in Supervised Learning :
Unsupervised Learning and Dimension Reduction:
Machine Learning Project :
Trainer Profile of Machine Learning
Our Trainers explains concepts in very basic and easy to understand language, so the students can learn in a very effective way. We provide students, complete freedom to explore the subject. We teach you concepts based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates can learn in our one to one coaching sessions and are free to ask any questions at any time.
- Certified Professionals with more than 8+ Years of Experience
- Trained more than 2000+ students in a year
- Strong Theoretical & Practical Knowledge in their domains
- Expert level Subject Knowledge and fully up-to-date on real-world industry applications
Proficiency After Training
- Expert in Machine learning, data analysis
- Able to work on statistical concepts using python or R
- Able to work with AI
- Have a good understanding of Data Science Algorithms
- Able to work on real-time projects with R studio
- Analyze several types of data using R
- Learn tools and techniques for Data Transformation
- Gain insights from Data and Visualize it
- Work with different file formats and types of data.
Frequently Asked Questions
Students Reviews
If you are looking for IT courses this is the right place. All kind of Python courses are available here. I have completed my Machine Learning course from Seven Mentor Classes. Those who looking for practical knowledge must join Seven mentor Classes they teach very well they cover all the topics regarding course. Nice Environment Good Teachers.They even give the Job Placement assistance.Best coaching for AI. All trainer’s who run it are very supportive along other staff and teachers. They have pure practical approach.Reasonable price and worth it!!!
- Surbhi Patil
All my questions were answered clearly with examples. I really enjoyed the training session and am extremely satisfied with the overall experience. Looking forward to similar interesting sessions. I trust KnowledgeHut for its interactive training sessions and I am ready to recommend them also.
- Pallavi Nahata
The course which I took from Knowledgehut was very useful and helped me to achieve my goal. The course was designed with advanced concepts and the tasks during the course given by the trainer helped me to step up in my career. I loved the way the technical and sales team handled everything. The course I took is worth the money.
- Akash Singh
Corporate Training
With the intent of decreasing the skill Difference among the corporate & IT organizational employees in relation. Our developed Corporate Machine Learning course in Punewill surely boost your worker's knowledge & make them turn into adept experts delivering all the Of advanced class program of Corporate Machine Learning Classes in Pune that covers modules of all of the latest & innovative algorithms. To help the IT & corporate organizations capitalize on their investments on Machine Learning technologies, Machine Learning Training in Pimpri Chinchwad delivering a whole setLearning technology our"Analytics Path" coaching institute has begun delivering industry oriented Corporate Machine Learning classes in Pune.Organizational desired results.
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