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Artificial Intelligence and Machine Learning Mastery - Specialization | 61 Course Series | 32 Mock Tests

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Home Data Science Data Science Courses Artificial Intelligence and Machine Learning Mastery – Specialization | 61 Course Series | 32 Mock Tests

What you get in this Artificial Intelligence and Machine Learning Mastery - Specialization | 61 Course Series | 32 Mock Tests?

323 Hours
61 Courses
Course Completion Certificates
Lifetime Access
Self-paced Courses
Technical Support
Mobile App Access
Case Studies

About Machine Learning Training in Bangalore

Course Name Machine Learning Training in Bangalore
Deal You get access to all videos for the lifetime
Hours 323 Video Hours
Core Coverage You get to learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and other areas under Data Science.
Course Validity Lifetime Access
Eligibility Anyone serious about learning data science and wants to make a career in analytics
Pre-Requisites Basic knowledge of data and analytics
What do you get? Certificate of Completion for the course
Certification Type Course Completion Certificates
Verifiable Certificates? Yes, you get verifiable certificates for each61 course, 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 Bangalore Curriculum


We have structured the curriculum to focus on Statistics Essentials, Machine Learning with TensorFlow, Machine Learning with R, Scikit in Python with Hands-on Deep Learning, and intense training.

We make our students have a good command over machine learning by assigning relative projects on Shipping and Time Estimation, Predicting the Prices by regression, Chain Demand Trends Analysis, Banking, and Credit Frauds, Detection in credit Payments, using an algorithm such as Random Forest Algorithm, Bayesian Machine Learning.

We provide an intensive study on R programming, Churn Prediction Model using R studio, HR Attrition, and on Analytics with R.

Python forms an integral part of the curriculum as it gets integrated with Artificial intelligence. Use of Python is seen at Face Detection, Sentiment Analysis, Predictive modeling with Python, Predicting Diabetes on Diagnostic measures, Linear Regression in Python, etc.

We also provide Octave Machine Learning Training and use BIP( Business Intelligence Publishes ) using Siebel in this Machine Learning Training in Bangalore.

  • MODULE 1: ML Essentials Training

    Courses No. of Hours Certificates Details
    Overview of Machine Learning Certification1m✔
    Artificial Intelligence with Python - Beginner Level2h 51m✔
    Artificial Intelligence with Python - Intermediate Level4h 34m✔
    ChatGPT Complete MasterClass - 20244h 57m✔
    AI Machine Learning in Python8h 37m✔
    Microsoft Excel - Beginners6h 44m✔
    Supervised Machine Learning with R 2024 - Linear Regression3h 05m✔
    Machine Learning with Python 20245h 14m✔
    Test - Machine Learning with Python Minor Test 1
    Test - Machine Learning with Python Minor Test 2
    Test - Excel Mock Exam
    Test - Machine Learning Assessment
  • MODULE 2: Machine Learning with Python

    Courses No. of Hours Certificates Details
    Machine Learning using Python3h 26m✔
    Machine Learning with Python Case Study - Covid19 Mask Detector2h 05m✔
    Deep Learning: Automatic Image Captioning for Social Media with Tensorflow2h 23m✔
    Develop a Movie Recommendation Engine51m✔
    Machine Learning Python Case Study - Diabetes Prediction1h 02m✔
    Predictive Analytics and Modeling with Python8h 26m✔
    Test - Machine Learning with Python Major Test
    Test - ML Assessment Exam
    Test - Mock Exam Machine Learning
  • MODULE 3: Machine Learning with R

    Courses No. of Hours Certificates Details
    Machine Learning with R20h 25m✔
    Time Series Analysis and Forecasting using R4h 34m✔
    Project - Fraud Analytics using R2h 34m✔
    Project - Marketing Analytics using R and Microsoft Excel2h 9m✔
    Case Study - Customer Analytics using Tableau and R2h 7m✔
    Case Study - Pricing Analytics using Tableau and R2h 39m✔
    Cluster Analysis and Unsupervised Machine Learning - K-Means Clustering using R43m✔
    Machine Learning Project using Caret in R1h 58m✔
    Test - Complete Machine Learning Exam
    Test - Machine Learning Ultimate Exam
    Test - R Programming Basic Test
    Test - Test Series R Programming
    Test - 2023 R Programming Exam
    Test - R Programming Complete Exam
  • MODULE 4: Machine Learning with MS Excel

    Courses No. of Hours Certificates Details
    Statistical Tools in Microsoft Excel1h 05m✔
    Microsoft Excel - Advanced9h 21m✔
    Microsoft Excel Charts and SmartArt Graphics6h 43m✔
    Power Excel Training5h 15m✔
    MS Excel Shortcuts7h 7m✔
    Mastering Microsoft Excel Date and Time2h 47m✔
    Date and Time Functions Microsoft Excel Training2h 37m✔
    Shortcuts in Microsoft Excel24m✔
    Graphs & Charts in Microsoft Excel 20132h 6m✔
    Financial Functions In MS Excel2h 36m✔
    Microsoft Excel Solver Tutorial48m✔
    Microsoft Excel for Financial Analysis49m✔
    Microsoft Excel for Data Analyst2h 35m✔
    Business Intelligence using Microsoft Excel5h 06m✔
    MS Excel Simulations Training2h 06m✔
    Microsoft Power BI - Business Intelligence for Beginners to Advance10h 34m✔
    Power BI: Software for Data Visualization3h 3m✔
    Test - Excel Mock Exam
    Test - Excel Assessment Exam
    Test - Complete Excel Exam
    Test - Ultimate Excel Test
  • MODULE 5: Machine Learning from Projects & Practicals

    Courses No. of Hours Certificates Details
    Project on ML - Shipping and Time Estimation2h 29m✔
    Project on ML - Supply Chain Demand Trends Analysis1h 09m✔
    Predicting Prices using Regression Techniques2h 18m✔
    Project on ML - Fraud Detection in Credit Payments1h 51m✔
    Project on ML - Banking and Credit Frauds44m✔
    Project on ML - Churn Prediction Model using R Studio1h 22m✔
    Random Forest Algorithm using Python1h 27m✔
    Predictive Analytics and Modeling with Python8h 26m✔
    Projects and Case Studies on Machine Learning with Python4h 5m✔
    Machine Learning Python Case Study - Diabetes Prediction1h 02m✔
    Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression2h 07m✔
    Project on R - HR Attrition and Analytics2h 08m✔
    Predicting Credit Default using Logistic Regression in Python3h 3m✔
    House Price Prediction using Linear Regression in Python3h 2m✔
    Poisson Regression with SAS Stat2h 21m✔
    Test - Complete Machine Learning Exam
    Test - Machine Learning Ultimate Exam
  • MODULE 6: Machine Learning Hands-On

    Courses No. of Hours Certificates Details
    Machine Learning ZERO to HERO - Hands-on with Tensorflow13h 39m✔
    Deep Learning ZERO to HERO - Hands-on with Python11h 17m✔
    Machine Learning with MATLAB2h 15m✔
    Projects and Case Studies on Machine Learning with Python4h 5m✔
    Bayesian Statistics & Supervised Machine Learning: A/B Testing57m✔
    Octave Machine Learning Training - Beginners to Beyond3h 35m✔
    Artificial Intelligence and Machine Learning Training Course12h 8m✔
    Test - Machine Learning Assessment
    Test - ML Assessment Exam
    Test - Mock Exam Machine Learning
  • MODULE 7: Mock Tests & Quizzes

    Courses No. of Hours Certificates Details
    Test - 2023 Excel Exam
    Test - Assessment Exam 2022
    Test - 2022 Excel Mock Exam
    Test - Excel 2023 Assessment Exam
    Test - Complete Excel Test 2023
    Test - 2023 - Excel Mock Exam
    Test - Test Series R Programming
    Test - 2023 R Programming Exam
    Test - R Programming Complete Exam
    Test - R Programming Practice Test

Machine Learning Training – Certificate of Completion

Machine Learning Training

What is Machine Learning Training?

The goal of machine learning is to create an accurate model that answers the question that is asked to it most of the time. This model needs to be trained and it has to work on some sets of training data.

The first and most important step is gathering the data. To make sure that a prediction is accurate, the quality and quantity of data chosen for the purpose need to be proper. Then the data is loaded into a suitable place and a pertinent data visualization is performed on the data.

The next step involves choosing a model and then the training of data is done and then the evaluation is done. After that parameter tuning is done and finally the prediction.

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]

Which Skills will you learn in this Course?

Below are the skills that you will find yourself well versed with, once you attend our training:

  • The Machine Learning and Statistics essentials: which includes Business Intelligence and ensures to form a bridge between Business Intelligence and Machine Learning.
  • Basic concepts of ML, AI, Deep Learning: With the help of TensorFlow all the basics will be brushed up along with state-space search and Heuristic searches. You will also learn about rule-based programming and decision making with R and Python.
  • Several hands-on projects on ML will be assigned: Covering fundamentals of Data Manipulation, KNN, Decision Tree, Feature extraction, Gaussian Mixture Models, hypothesis testing, sampling, statistical distribution, Bayesian Model, AB testing concepts, regression, etc.

Pre-requisites

    Below are the perquisites for people who are looking to pursue a career in Machine Learning:

  • Programming Language: Knowing programming languages like R and Python are important skills one needs to know. Implementing machine learning libraries is possible with the help of python and R as they have in-build libraries for this purpose.
  • Probability: A strong foundation in probability is needed as a strong insight is needed to predict the likelihood of occurrence of a possibility. Hence,  a strong command over probability is needed.
  • Calculus: Machine Learning algorithm requires one to be good at calculus for modeling the algorithm.
  • Linear Algebra: Is required as a lot of work revolves around transforming and performing operations over the datasets.
  • Statistics: Inferential statistics help at drawing information from raw data and a Data Scientist must have this skillset.

Target Audience

    • Below is the target audience for the Machine Learning Training in Bangalore:
    Firstly, it to be understood that machine learning can be learned by anyone who keeps the desire to make it in the machine language world. A strong will and inherent desire can get someone right into the machine learning career path.

    • Software Engineers: As software engineers have a strong aptitude for writing code it can come in handy for writing machine learning algorithms. All one needs is to have the right skillset by their side.
    • Software Developers: Are mostly concerned about creating flow charts determining the infrastructure between the flow of computer networks. They have ample knowledge over distributed-processing, memory, cache working, etc. They can also opt for machine learning transitions in their careers.
    • Business Analyst, Data Analyst, and people from other fields: They can also take up machine learning courses if they have the grit and determination for the field.

Machine Learning Training in Bangalore – FAQ’s


Here are some of the basic FAQ asked:

How are AI and Machine Learning related?

AI deals with solving problems that humans can but computers cannot do and Machine Learning forms as the subfield of AI concerned with developing algorithms that computers can learn and predict from the models to perform those tasks.

What is the real-world application of Machine Learning?

There are many real-world applications at present and the future may open avenues for more. Here are some listed:

Netflix/Amazon: Recommendation of movies, series in Netflix, Amazon brings up complementary products that a customer may choose concerning the recent purchase a customer might have done.

Finance: Stock market trends are determined with the help of machine learning techniques like sentiment analysis.

Text and speech recognition: Voice assistance(Siri), credit card fraud detection, language translation services, etc.

Advertisement at Social Network: Selection of relevant ads to show by the data mining of personal information.

Astronomy: Helpful in autonomous mars robot and also in the identification of relevant information in large astronomical data.

Drug Discovery and Biology: Machine Learning has great potential at discovering drugs and can immensely contribute to society.

Why should one take up this course in Bangalore?

There are many good Machine Learning training institutes in Bangalore. And Educba is one of the best at its work and in the service it provides. Here you will have an opportunity to study and learn the most sort after the job profession at a very reasonable price with good trainers and great technical support provided the Educba team. In a place like Bangalore, it is better to have an attitude of an opportunist and one should not miss out on such an opportunity.

What is the Machine Learning Market Trend in Bangalore?

Machine Learning jobs are rising in a booming scale as the industry realizes the importance of having their analysis derived from machine learning techniques. With so many tech giants and industries present in Bangalore, there will be so many job requirements in this domain. It is the most trending technology in the technical world. It is considered amongst the most promising career option of the 21st century. All the leading organizations will be on the lookout for people who can work with machine learning algorithms and data science jobs.

Prospects of Machine Learning experts are going to be 2.3 million by 2020, a report by Gartner. As Bangalore is the IT hub it is said that there will be 9.8 times more jobs for Machine Learning than there was 5 years ago.

Sample Preview


Career Benefits

    • Machine Learning Training in Bangalore is a great opportunity if someone wants to understand the subject from scratch. Online classes conducted it helps the professionals to attend these classes at their convenient time by receiving good technical support and mobile app access.
    Industry growth is on the rise and there will be heavy requirements of machine Learning professionals by 2022 as the market grows. Also, a nearly 47% hike is expected for people who have their career in machine learning. There are even 200+ career transitions after one is skilled at the skills which a machine learning training provides. In short, we try our best to make a complete package for an aspiring Machine Learning enthusiast.

Reviews


 

Machine Learning Training in Bangalore review 1

Testimonials

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

 

 

Machine Learning Training in Bangalore review 2

Testimonials

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

 

 

Machine Learning Training in Bangalore review 3

Testimonials

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 Training in Bangalore review 4

Testimonials

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

 

 

Machine Learning Training in Bangalore review 5

Testimonials

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

 

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Course Curriculum
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    CoursesNo. of Hours
    Overview of Machine Learning Certification0h 03m
    Artificial Intelligence with Python - Beginner Level2h 51m
    Artificial Intelligence with Python - Intermediate Level4h 34m
    ChatGPT Complete MasterClass - 20244h 57m
    AI Machine Learning in Python8h 37m
    Microsoft Excel - Beginners6h 44m
    Supervised Machine Learning with R 2024 - Linear Regression3h 05m
    Machine Learning with Python 20245h 14m
    Machine Learning using Python3h 26m
    Machine Learning with Python Case Study - Covid19 Mask Detector2h 05m
    Deep Learning: Automatic Image Captioning for Social Media with Tensorflow2h 23m
    Develop a Movie Recommendation Engine1h 26m
    Machine Learning Python Case Study - Diabetes Prediction1h 02m
    Predictive Analytics and Modeling with Python8h 26m
    Machine Learning with R20h 25m
    Time Series Analysis and Forecasting using R4h 34m
    Project - Fraud Analytics using R2h 34m
    Project - Marketing Analytics using R and Microsoft Excel2h 9m
    Case Study - Customer Analytics using Tableau and R2h 7m
    Case Study - Pricing Analytics using Tableau and R2h 39m
    Cluster Analysis and Unsupervised Machine Learning - K-Means Clustering using R1h 12m
    Machine Learning Project using Caret in R1h 58m
    Statistical Tools in Microsoft Excel1h 05m
    Microsoft Excel - Advanced9h 21m
    Microsoft Excel Charts and SmartArt Graphics6h 43m
    Power Excel Training5h 15m
    MS Excel Shortcuts7h 7m
    Mastering Microsoft Excel Date and Time2h 47m
    Date and Time Functions Microsoft Excel Training2h 37m
    Shortcuts in Microsoft Excel0h 42m
    Graphs & Charts in Microsoft Excel 20132h 6m
    Financial Functions In MS Excel2h 36m
    Microsoft Excel Solver Tutorial1h 22m
    Microsoft Excel for Financial Analysis1h 23m
    Microsoft Excel for Data Analyst2h 35m
    Business Intelligence using Microsoft Excel5h 06m
    MS Excel Simulations Training2h 06m
    Microsoft Power BI - Business Intelligence for Beginners to Advance10h 34m
    Power BI: Software for Data Visualization3h 3m
    Project on ML - Shipping and Time Estimation2h 29m
    Project on ML - Supply Chain Demand Trends Analysis1h 09m
    Predicting Prices using Regression Techniques2h 18m
    Project on ML - Fraud Detection in Credit Payments1h 51m
    Project on ML - Banking and Credit Frauds1h 15m
    Project on ML - Churn Prediction Model using R Studio1h 22m
    Random Forest Algorithm using Python1h 27m
    Projects and Case Studies on Machine Learning with Python4h 5m
    Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression2h 07m
    Project on R - HR Attrition and Analytics2h 08m
    Predicting Credit Default using Logistic Regression in Python3h 3m
    House Price Prediction using Linear Regression in Python3h 2m
    Poisson Regression with SAS Stat2h 21m
    Machine Learning ZERO to HERO - Hands-on with Tensorflow13h 39m
    Deep Learning ZERO to HERO - Hands-on with Python11h 17m
    Machine Learning with MATLAB2h 15m
    Bayesian Statistics & Supervised Machine Learning: A/B Testing1h 36m
    Octave Machine Learning Training - Beginners to Beyond3h 35m
    Artificial Intelligence and Machine Learning Training Course12h 8m

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