INTERNSHIPS - Human Resource
LEARN - PRACTICE - INTERN
Live & Hands on Training Experience
Get hands-on interactive learning with expert trainers!- Instructor-led live online training at your convenience!
Placement & Job Oriented Program
Up-skill your career and find your way to a better job with our value added real-time learning sessions.
Industry & Real-time Expert Faculty
Skill Enhancement Courses, Project-based Customized Learning Syllabus-Access Learning Resources,
About Human Resource Course
Machine learning is an application of artificial intelligence (AI) that provides software applications with the ability to automatically learn and improve from experience without being explicitly programmed.
The principal aim of Machine Learning is to enable computers to learn automatically without human aid and act accordingly. This is made possible by letting the application access data that deals with user experience and preference. Then, this data is understood and analysed by the machine to serve the user better.
- Teaches you more about the statistics–descriptive and inferential. This is highly important to learn how Machine Learning (ML) works
- You can do Machine Learning using Python, or can learn Machine Learning using R–two of the most commonly used programming languages
- Feature engineering and data cleansing
- Insights into the Deep learning technique
- Trains you through creating projects like predictive models and MNIST Classifier
- A platform to interact with Industry experts Faculty
- Customized Learning Syllabus- One-On-One Coaching
Duration & Training Fee per Student
45 Days
Recorded Access Library
Live Projects Explenation
Mini& Major Project
24/7 Mentor Support
2 Months
Recorded Access Library
1 Real-time Projects
Mini& Major Project
24/7 Mentor Support
3 Months
Full Access Library
3 Real-time Projects
Mini& Major Project
24/7 Mentor Support
6 Months
Full Access Library
6 Real-time Projects
Mini& Major Project
24/7 Mentor Support
Course Syllabus
- What is Machine Learning
- Use cases of Machine Learning
- Types of Data
- Role of Machine Learning Engineer
- Different types of Machine Learning
Environment Setup of anaconda
Introduction to python programming
- Python Data Structures
- Python Programming Fundamentals
- Conditions and Branching
- Loops
- Functions
- Python Packages
- Overview of OOP Terminology
- Working with NUMPY
- Working with Pandas
- Introduction to Data Visualization
- Introduction to Matplotlib and Seaborn
- Basic Plotting with Matplotlib and Seaborn
- Working with Scikit-Learn
- Introduction to Data preprocessing
- Importing the Dataset
- Handling Missing data
- Working with categorical Data
- Splitting the data in to Train and Test set
- Feature Scaling
- Linear Regression
- Multiple Linear Regression
- Polynomial Regression
- Decision Tree
- Logistic Regression
- K-Nearest Neighboring
- Support Vector Machine
- Naive-Bayes
- Decision Tree Classification
- Random Forest Classification
Model Evaluation for classification and regression problems
Our Human Resource Trainers
Srinivasarao.B
Senior AI&ML Programmer in IBM
Ashok Babu MAndana
ML with JAVA Real-time Developer
M.Mahesh
Data Science Mentor
Testimonials
This internship helped me to improve technical and soft skills. The Platform and course content is too good. It was a great experience of learning in Internships Academy.
“With the help of internship from experienced trainers & good lab facilities in IA , I have improved my practical knowledge to a great extent .”
Working in a core company was my dream, now it became real..Now I am a Design Engineer at Wipro. Thanks to Internships Academy and all my faculties. Thank you All
Mobile : +91 9153234444
Email : ia@internshipsacademy.com
Location: Flat no:203, SBI bank road, Madurvoyal, Chennai, Tamilnadu
- Basic Definition
- Key Assumptions
- Human Resource Planning
- Recruitment and Selection
- Compensation and Benefits
- Performance Appraisal
- Training and Development
- What is Human Resource Planning
- The HR Planning Process
- Job Analysis and Job Descriptions
- Sourcing Candidates
- The Recruitment Interview
- Reference/Background Checks and Making an Offer
- Flat Rate Only
- Merit Pay
- Profit and Gain Sharing
- Why Have Performance Appraisals?
- The Appraisal Process
- What is Training
- Knowledge, Skills, and Abilities
- Training and Development Perspectives
- The Training Cycle
- Training Needs Analysis
- New Core Competencies
