Best Machine Learning Training Institute in Delhi NCR
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WHAT IS MACHINE LEARNING?
CETPA Infotech provides job-oriented Online Machine Learning Training in Noida. Machine learning is a field of computer science that provides computers with the capability to learn without being explicitly programmed. It is a part of artificial intelligence (AI) that allows software applications to become more precise in predicting outcomes without being explicitly programmed. According to the experts, machine learning and artificial intelligence are going to change the way we interact with everything in our environment in the coming days.
The Online ML Training in Noida at CETPA will cover all the basic as well as advanced concepts of ML with hands-on experience in working on real-time practical concepts. Machine Learning using Python will assist the students to gain complete end-to-end knowledge in relation to complete theoretical and practical concepts. Furthermore, we assist students in developing knowledge in all machine learning real-time projects and case studies.
WHY CETPA INFOTECH FOR MACHINE LEARNING TRAINING?
There are numerous reasons which make CETPA one of the best Machine Learning Training Institute in Noida. Some of the reasons include-
- CETPA is the certified training center of Microsoft, Oracle, Panasonic, Nuvoton and Autodesk.
- Has been training and placing candidates in reputed companies for more than 15 years.
- Our curriculum is designed to match growing corporate needs. Our lectures are supplemented with industry-ready assignments and tasks.
- We provide facility of world-class lab facility. Our experts will provide you opportunity to work on curated case studies and selected industry problems.
- Our teams of trainers hail from IT Industry with more than 15+ years of experience in teaching and guiding students in latest technologies.
- International level Machine Learning certification will be provided.
- Apart from Classroom Training, online training is also provided.
- Flexible Batch Size and Timings
- 1-year membership card
- The course content is completely upgraded with the latest upgraded improvements so that students may lead the race.
OUR CURRICULUM
Online Machine Learning Training Course in Noida at CETPA will help the learners in becoming the best-fit Machine Learning working professionals. Our professional level training will help you to gain knowledge of concepts like Naive Bayes Classification, Support Vector Machines, Decision Tree Algorithms, Logistic Regression, K-Means Clustering and more.
Machine Learning using R Programming is delivered with the help of Certified ML Industry Experts with 100% Quality Assurance. The Experts will teach you the essentials you need to know to kick-start your career in ML. The duration of the Machine Learning Training in Noida ranges from 4- 6 weeks. CETPA has strict standards in terms of trainers, materials and classroom facilities to ensure that students receive high-quality training of the technology.
Our curriculum includes:
- Python Libraries for ML
- Supervised ML & Unsupervised ML
- Mathematical Background for ML- Matrix ops Probability Theory (Bayes’ Theorem)
- Statistical knowledge for ML- Mean, Median, Mode, Z-scores, bias-variance dichotomy
- ML libraries Explained: Scipy, Numpy, Matplotlib
- Data split & hyper-parameter training
- Preprocessing data and feature engineering
- Exploratory Data analysis using Visualization
- Different types of Regression-Linear and Logistic
- Naive- Bayes’ Classification
- Real-world code exercises
- SVM Classification Introduction
- Real-time mini project
Get into the most innovative and challenging career profession of Machine Learning by simply enrolling in our highly eminent career-oriented Machine learning training program.
WHAT ARE THE BENEFITS OF DOING A MACHINE LEARNING COURSE?
- You will get better knowledge of programming and how to implement it for actual development requirements in the industrial projects and applications.
- Enhanced knowledge on the web development framework. Using this framework, you can develop dynamic websites swiftly.
- You will learn how to design, develop, test, support and deploy desktop, custom web, and mobile applications.
- Design and improve testing and maintenance activities and procedures.
- Design, implement and develop important applications in a Machine Learning environment.
- Increased chances of working in leading software companies like Infosys, Wipro, Amazon, TCS, IBM and many more.
CERTIFICATION
Professional growth, increased compensation, and validation of skills are the most popular reasons why individuals and professionals seek IT certifications. Keeping this in mind, CETPA offers certification in the most recent and innovative technologies to assist you in achieving your certification objectives.
CETPA is the official Training partner of Oracle, Microsoft, Autodesk, Panasonic and Nuvoton and thus provides Training as per international standards and curriculum. CETPA proudly provides you certification in association with our training partners so that you can validate your domain specific technical skills. Certification from these big brands will help you in grabbing your dream job.
IMPORTANCE OF CETPA CERTIFICATION
For individuals and IT professionals:
- Gives you an advantage while searching for a job and provide a competitive advantage over your competitors.
- Ensure knowledge and skill are up to date and can be applied to the job
- Provide credibility to those looking for a career in an IT domain.
- Offer fast track to career advancement
- Demonstrate level of competency
- Professional Credibility as well as it demonstrates your dedication and motivation to professional development.
- You are likely to stand out from the crowd and be considered to be successful in your positions.
- Represent a well-recognized and valued IT credential that increases marketability and competitive edge.
For organizations:
- Provide peace of mind with the confidence that certified employees have truly learned the skills necessary to do their jobs.
- Express valuable credentials to search for in prospective employees, and can help retain top performers when offered as an incentive.
- Offers a competitive advantage when the team is trained and certified regularly.
Mode/Schedule of Training:
CETPA, The Best Machine Learning Training Institute in Delhi NCR offers courses in following modes.
| Delivery Mode | Location | Course Duration | Schedule (New Batch Starting) |
|---|---|---|---|
| Classroom Training (Regular/ Weekend Batch) | *Noida/ Lucknow *Dehradun /Roorkee | 4/6/12/24 weeks | New Batch Wednesday/ Saturday |
| *Instructor -Led Online Training | Online | 40/60 Hours | Every Saturday or as per the need |
| *Virtual Online Training | Online | 40/60 Hours | 24×7 Anytime |
| College Campus Training | India or Abroad | 40/60 Hours | As per Client’s need |
| Corporate Training (Fly a Trainer) | Training in India or Abroad | As per need | Customized Course Schedule |
Machine Learning
- Introduction to ML
- What is ML? Why ML?
- Introduction to Supervised ML
- Introduction to Unsupervised ML
- Difference AI|DL|ML
- Application and use
Tools required for development – Anaconda, Jupyter NB/Google Colab/Spyder
- ML libraries
- Numpy: Introduction to Numpy
- Pandas: Introduction | Dataframe | Loading datasets | Loading data from database | pandas operations.
- Matplotlib: Introduction | Line Chart | Pie Chart | Scatter Plot | Bar chart | Histogram.
- Sklearn: lntroduction | Sklearn-API | Statsmodels.api.
- ML Glossary-
- Variable types, K-fold CV, AUC
- F1 score, Overfitting/Underfitting,
- Generalization, ROC | Confusion matrix
- Mathematical Background for ML- Matrix ops
- Probability Theory (Bayes’ Theorem)
- Statistical knowledge for ML- Mean, Median,
- Mode, Z-scores, bias -variance dichotomy
- Exploratory Data analysis using Visualisation
- Scikit-learn Library for ML
- Code Exercises
Steps of Machine Learning
- Data Collection. The quantity & quality of your data dictate how accurate our model.
- Data Preparation. Wrangle data and prepare it for training | Data wrangling using Pandas | Preprocessing Data and feature engineering | split
- Choose a Model.
- Evaluate the Model.
- 6 – Parameter Tuning | hyper parameter training
- Make Predictions.
Supervised Machine
- Introduction | Maths behind Supervised Machine
- Learning and Algo
Regression
- Linear Regression
- Multi-Linear Regression
- Lasso/Rigde
- Decision Tree Regression
- Support Vector Regression
Classification
- Logistic Regression
- KNN-K Nearest Neighbors
- Support Vector Classifier(SVM-SVC)
- Decision Tree Classifier(DTC)
- Random Forest
- Naive Bayes
- Ensemble Learning
Unsupervised Machine Learning
Clustering :
- Introduction:
- Mathematics behind Clustering
k-means clustering
- Implementation of K-mean Clustering
H-clustering
- Implementation of H-Clustering Code Exercises
Assocation Rule:
- Apiori rule
Dimensionality Reduction
- Principle Component Analysis (PCA)•
CAPSTONE PROJECT
- IBM RATE PREDICTION USING MACHINE LEARNING
- COVD-19 PATIENT OUTCOME PREDICTION USING ML
- ESTIMATE THE ONLINE OF A E-COMMERCE RETAIL FIRM USING ML
- GUI BASED MACHINE LEARNING APPLICATION TO CLASSIFY THE PLANT SPECIES OF IRIS FLOWER
- PREDICT THE CHURN RATE IN A TELECOM COMPANY USING ML
- MALL CUSTOMER SEGMENTATION USING ML
- MARKET BASKET ANALYSIS AND ASSIT A SHOPPING MALL TO STACK PRODUCT
- PREDICT AND ESTIMATE CAR RE-SALE VALUE USING MACHINE LEARNING
- WORKING ON INBULIT DATASETS
- PREDICTION | CLASSIFICATION OF HANDWRITTEN DIGITS
- Revisiting Python
- Python Libraries for ML
- What is ML? Why ML?
- Introduction to Supervised ML
- Introduction to Unsupervised ML
- Mathematical Background for ML- Matrix ops Probability Theory (Bayes’ Theorem)
- Statistical knowledge for ML- Mean, Median, Mode , Z-scores, bias -variance dichotomy
- Tools required for development – Anaconda, Jupyter NB
- ML libraries Explained: Scipy, Numpy, Matplotlib
- ML Glossary- Variable types, k-fold CV, AUC ,
- F1 score,Overfitting/Underfitting, Generalization,
- Data split & hyper parameter training
- Data wrangling using Pandas
- Preprocessing data and feature engineering
- Exploratory Data analysis using Visualisation
- Scikit-learn Library for ML
- Code Exercises
- Supervised learning – Regression
- Different types of Regression-Linear and Logistic
- Decision tree Algorithms
- Real-world code exercises
- Supervised Learning- Classification
- Naive- Bayes’ Classification
- KNN Classification
- Real-world code exercises
- Clustering Introduction
- k-means clustering
- Code Exercises
- Advanced topics-Curse of Dimensionality-PCA algo
- SVM Classification Introduction
- Real-time mini project
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Course Features
- Lectures 0
- Quizzes 0
- Duration 10 weeks
- Skill level All levels
- Students 0
- Assessments Yes
