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Machine Learning Practical




Machine Learning Professional Training


All Job Seekers


Online and Offline Classes


Week Days and Week Ends

Duration :

60 Days

Machine Learning What will you learn?

•How to secure Machine Learning services.
•You will learn how to write Machine Learning.
•Learn how to build an app in Machine Learning.
•Learn Machine Learning with Practical Hands-On Exercises for beginners
•Learn How To Create Your Machine Learning In Easy Steps
•Learn fundamentals of Machine Learning for Beginners: Practical and hands-on learning
•Learn all the hooks and crooks of Machine Learning at your pace.
•Learn Machine Learning the Fast and Easy Way With This Popular Bundle Course!
•Learn and understand the fundamentals of Machine Learning and how to apply it to web development.

machine learning practical Training Highlights

•24 × 7 = 365 days supportive faculty
•Course has been framed by Industry experts
•Get Certified at the Best Training Institute.
•Classes are Accessible on Website and Mobile Apps
•Indutry oriented training with corporate casestudies
•100% Guaranteed Placements Support in IT Companies with Big Salaries
•Make aware of code competence in building extensive range of applications using Python
•This Instructor-led classroom course is designed with an aim to build theoretical knowledge supplemented by ample hands-on lab exercises

Who are eligible for Machine Learning

•CNC Engineer, Software Developer, Testing Engineer, Implementation, Core Java, Struts, hibernate,, c#, SQL Server, CNC Programming, backETL Developer, Informatica MDM, SAP BO, SAP HANA, Oracle Apps Functional Finance, Finance Modules, 11i, R12, Oracle Apps, Oracle Apps DBA, EBusiness Suite
•Java, .Net, Selenium, QTP, DBA, PHP, Neoload, Manual Testing, Rest, Soap, Web Services, SQL, UI, Peoplesoft, Cloud
•scala, React.js, Backend Developers, Frontend Developers, Fullstack Developers, Ui/ux Designers, Test Engineering, Site Reliability Engineer, Machine Learning
•ux, ui, Python Developers, Qa Automation, sales, Ui Development, Ux Design, Software Development, Python, Qa Testing, Automation Testing


Welcome to the course!
•Where to get the materials
•Breast Cancer Classification
•Business Challenge
•Updates on Reviews
•Data Visualisation
•Model Training
•Model Evaluation
•Improving the Model
•Fashion Class Classification
•Model Training Part I
•Model Training Part II
•Model Training Part III
•Model Training Part IV
•Directing Customers to Subscription Through App Behavior Analysis
•Fintech Case Studies Introduction
•Features Histograms
•Correlation Plot
•Correlation Matrix
•Feature Engineering – Response
•Feature Engineering – Screens
•Data Pre-Processing
•Model Building
•Model Conclusion
•Final Remarks
•Minimizing Churn Rate Through Analysis of Financial Habits
•Data Cleaning
•Pie Chart Distributions
•One-Hot Encoding
•Feature Scaling & Balancing
•K-Fold Cross Validation
•Feature Selection
•Predicting the Likelihood of E-Signing a Loan Based on Financial History
•Data Housekeeping
•Feature Engineering
•Data Preprocessing
•Model Building
•Grid Search
•Credit Card Fraud Detection
•Case Study
•Machine Learning Vocabulary
•Set Up
•Data Visualization
•Deep Learning
•Splitting the Data
•Confusion Matrix
•Machine Learning Classifiers
•Random Forest
•Decision Trees