Learn from Home Offer
Machine Learning Training in Chennai (17 Courses, 27+ Projects)
17 Online Courses
27 Hands-on Projects
159+ Hours
Verifiable Certificate of Completion
Lifetime Access
BESTSELLER
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1
Machine Learning - Statistics Essentials
2
Machine Learning with Tensorflow
3
Hands-on Deep Learning Training
4
Machine Learning with R
5
Machine Learning with SciKit-Learn in Python
Offer ends in:
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* One Time Payment & Get Lifetime Access
* One Time Payment & Get Lifetime Access
What you get in this Machine Learning Training in Chennai?
Online Classes
Technical Support
Mobile App Access
Case Studies
About Machine Learning Training in Chennai
| Course | No. of Hours | |
|---|---|---|
| Machine Learning - Statistics Essentials | 8h 01m | |
| Machine Learning with Tensorflow | 13h 18m | |
| Hands-on Deep Learning Training | 11h 34m | |
| Machine Learning with R | 20h 21m | |
| Machine Learning with SciKit-Learn in Python | 8h 46m | |
| Project on ML - Shipping and Time Estimation | 2h 01m | |
| Project on ML - Supply Chain Demand Trends Analysis | 1h 11m | |
| Project on ML - Predicting Prices using Regression | 2h 21m | |
| Project on ML - Fraud Detection in Credit Payments | 1h 6m | |
| Project on ML - Banking and Credit Frauds | 46m | |
| Project on ML - Churn Prediction Model using R Studio | 1h 25m | |
| Project on ML - Random Forest Algorithm | 1h 31m | |
| Projects on ML - Predictive Modeling with Python | 9h 53m | |
| Octave Machine Learning Training - Beginners to Beyond | 3h 43m | |
| Octave Machine Learning Training - Intermediate to Advanced | 2h 47m | |
| Artificial Intelligence with Python | 6h 36m | |
| Machine Learning using Python | 3h 32m | |
| Project on AWS - Machine Learning | 2h 35m | |
| Deep Learning Tutorials | 2h 3m | |
| Data Science with R | 5h 8m | |
| Natural Language Processing (NLP) Tutorials | 1h 55m | |
| Bayesian Machine Learning: A/B Testing | 58m | |
| Face Detection in Python | 18m | |
| BIP - Business Intelligence Publisher using Siebel | 2h 22m | |
| BI - Business Intelligence | 14h 51m | |
| Artificial Intelligence and Machine Learning Training Course | 12h 27m | |
| Project on Python - Sentiment Analysis | 1h 08m | |
| Projects and Case Studies on Machine Learning | 4h 12m | |
| Machine Learning with Python Project - Predict Diabetes on Diagnostic Measures | 1h 07m | |
| Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression | 2h 08m | |
| Project on R - HR Attrition and Analytics | 2h 52m | |
| Project - Logistic Regression using SAS Stat | 4h 33m | |
| Project - Linear Regression in Python | 2h 15m | |
| Project on Python Data Science - Predicting the Survival of Passenger in Titanic | 2h 11m | |
| Project on R - Card Purchase Prediction | 2h 31m | |
| Project on Machine Learning - Develop Movie Recommendation Engine with Python | 53m | |
| Employee Attrition Prediction using Random Forest Technique and R | 2h 2m | |
| Project on Term Deposit Prediction using Logistic Regression CART Algorithm | 1h 43m | |
| Project - Credit Default using Logistic Regression | 3h 9m | |
| Project - House Price Prediction using Linear Regression | 2h 8m | |
| Poisson Regression Project using SAS Stat | 2h 26m | |
| Machine Learning Project using Caret in R | 1h 6m | |
| Forecasting the Sales using Time Series Analysis in Python | 2h 29m | |
| Machine Learning Project - K-Means Clustering using R | 44m |
| Course Name | Machine Learning Training in Chennai |
| Deal | You get access to all videos for the lifetime |
| Hours | 159+ Video Hours |
| Core Coverage | Machine learning using Python, Deep Learning, Data Science with R, Face Detection in Python, Bayesian Machine Learning, Business Intelligence, Artificial Intelligence, Projects on Machine learning. |
| Course Validity | Lifetime Access |
| Eligibility | Anyone serious about learning Machine Learning and wants to make a career in this Field |
| Pre-Requisites | Familiarity with at least one programming language is recommended |
| What do you get? | Certificate of Completion for each of the 17 courses, 27 Projects |
| Certification Type | Course Completion Certificates |
| Verifiable Certificates? | Yes, you get verifiable certificates for each17 course, 27 Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills |
| Type of Training | Video Course – Self Paced Learning |
| Software Required | None |
| System Requirement | 1 GB RAM or higher |
| Other Requirement | Speaker / Headphone |
Machine Learning Training in Chennai Curriculum
Machine learning is one of the high demand skills in Industries. This Machine Learning Training in Chennai will give the practical techniques of Machine learning using Python, Deep learning, Programming with R, Face Detection in Python, Bayesian Machine Learning, Projects on Machine learning, and much more right from the basics to advanced concepts.
To me a Machine learning engineer, you need to understand the machine learning techniques in various concepts such as decision tree, graphical model, neural network, algorithm, evaluate the programs. R is used for machine learning and data analysis. It will help to analyze the data, plot the data points, and built a statistical data model. Python can learn machine language by computing the program and also the algorithm representation.
We will discuss more on the below topics in this Machine Learning Training in Chennai
- Introduction
- What is ML?
- Why ML?
- Opportunities in ML
- What are the ML models?
- Why R is popular?
- Hands-on in Deep Learning
- Projects on ML
- Shipping and Time Estimation
- Supply Chain Demand Trends Analysis
- Predicting Prices using Regression
- Fraud Detection in Credit Payments
- Banking and Credit Frauds
Machine Learning Training – Certificate of Completion
What is Machine Learning?
ML is a technique that allows us to learn the example and experience and it can be converted into programmatically. You no need to write code at each time, when you feed data to the algorithm and the algorithm can build the code based on the data. Here we understand how the system works? – It will learn automatically based on experience and gives better performance. Where do we see the real-time example? – We can see in our computer applications such as email filtering, network intruders, and vision are developed such an algorithm to act and it will be used for making predictions. For example, you post a photo on Facebook, and it will ask you whom to tag in the photo and will also give the suggested names. So this is one of the best examples of machine learning. Nowadays in industries, ML is one of the greatest in-demand technology.
Real-world ML applications include personal assistants, image recognition, predictions, language translator, search recommendation based on saved log, text or speech recognition, medical diagnosis machine, spam email detection, auto alarm system in banks.
Industry Growth Trend
The machine learning market is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.[Source - MarketsandMarkets]
Average Salary
Average Salary$141,029 per year
The average salary for a Machine Learning Engineer is $141,029 per year in the United States.
[Source - Indeed]
[Source - Indeed]
Which Skills will you learn in this Course?
- R Programming
It is the analytical tool specifically designed for data science and it will help us to solve any complex problems
- Python
Python is the coding language and it plays a major role in Data scientists. It can be format the data and easily import SQL tables into our code
- SQL
The query language is used for operations like add, delete and update data from database and also help the analytical functions
Pre-requisites
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- Programming Languages like Python/C++/R/Java
You will need to know some of these technologies to enter into Machine Learning. Here C+= is for speed-up the coding, Hadoop is working based on Java, R is for statistics and plots the data points.
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- Probability and Statistics concepts
Understanding the probability to make the prediction and statistics can help the model evaluation metric
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- Data modeling and evaluation
You can able to find patterns, predictions, unseen instance, and determine the error measures from the log message.
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- Software engineering and system design
Engineers must be the ability to work with library calls, REST APIs, and SQL queries to build the interfaces. And involves in system analysis, system design, version control, testing and documentation
Target Audience
- Professionals who work as an analyst, data driving, sales department, banking projects can also get benefit from this Machine Learning Training in Chennai.
- Students who completed their degree also opt for this course.
- A business consultant who is in customer relationships can learn this Machine Learning Training in Chennai to get familiar with the existing product analysis.
Machine Learning Training in Chennai – FAQ’s
What is the qualification that needs to learn Machine Language?
It is one of the frequently asked questions for all new joiners and enquiring about our Machine Language.
- Good Knowledge in Statics and Mathematics concept
- Basic knowledge and understanding in the programming language
If I’m joining this Machine Learning Training in Chennai, do we need a Machine Learning experience?
You don’t need to have prior experience in ML. Our expertise will available for you to teach the basics of machine learning techniques and will provide you the guidance to learn quickly
How Artificial Intelligence, Machine Learning, and data science are related?
AI is the intelligent machines that work, react, and think like humans. ML is the sub-field of AI. Data science is about data gathering, processing, analysis, and virtualization. All these three for decision making.
Where can I learn more about ML?
You can browse the ML topic on the internet, and you can get into the blog to get the reading materials and articles available for you. Prefer to watch the youtube videos.
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Career Benefits
- After completed this Machine Learning Training in Chennai, you’ll enable with all these below
- You’ll gain the knowledge in mathematical and statics of machine learning
- Can be expert in writing algorithms and how to implement in applications
- Understand of supervised and unsupervised learning concepts
- If you’re a student, it will help to crack your interview to get placed in developed industries.
- It will get a good opportunity to switch your current job with a 35% to 55% hike in a reputed company.
- It will enable you to get the highest paying in the role
Reviews
Great!
Nice introductory course if you want to get a basic understanding of what Machine Learning is. You don’t need ridiculous technical chops to gain something from this course, it’s put together in a way that anyone can value from and truly understand it. I’d recommend it to anyone who just wants to dip their toes in the Machine Learning waters.
Linked
Ammar Khan
Awesome Course!
Thanks team for this awesome set of videos on Artificial Intelligence and Machine Learning. Found it useful, specifically from the placement point of view. Now I have a good overview of the subject. I believe it would be beneficial for all students who are interested to know more about AI&ML.
Linked
Rakesh Mohan Mohapatra
Introduction to Machine Learning
It is an introductory course that helps in getting a basic understanding of what Machine Learning is. The course is designed in such a way that it doesn’t need any prior technical knowledge to understand it. With the evolution of technology we see today, it is highly recommended to have at least a basic knowledge of what is shared in this course.
Linked
Meenal Kohat
Machine Learning with R
This was a really interesting course. I had prior knowledge regarding data analytics, including descriptive, prescriptive, and predictive modeling using various tools, but this course was different. This taught me a lot of things that I did not know as a person who was good at statistics and probability. Overall the course was Good.
Linked
Keerthi Vasan
Introduction to Machine Learning
Great course, concepts are very well explained and so very easy to grasp and understand the general concepts or ideas revolving around machine learning algorithms. I think you can easily apply some of these skills directly to various problems, even in your research, and can be a great addition to your skills.
Ajay Ashok
