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Artificial Intelligence and Machine Learning Mastery - Specialization | 61 Course Series | 32 Mock Tests
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61 Courses
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323 Hours
61 Courses
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About Machine Learning Training in Mumbai
| Course Name | Machine Learning Training in Mumbai |
| Deal | You get access to all videos for the lifetime |
| Hours | 323 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 | Basic knowledge of data and analytics |
| What do you get? | Certificate of Completion for each of the 61 courses, Projects |
| 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 Mumbai Curriculum
Machine Learning is one of the technological trends that every organization desires. Various learning platforms help us to gain complete knowledge in Machine Learning and can help you become a machine learning professional. The course helps gain in-depth knowledge of various algorithms that can be performed using various tools like R or Python. The beginning phase of the course is designed to give you the difference between Business Intelligence and Machine Learning, basic concepts related to machine learning, and Artificial Intelligence. In addition to that, you will also learn to program with R and Python using different algorithms used in machine learning. It also helps us to learn basic and advanced statistical concepts like Hypothesis testing and types of machine learning techniques. There are projects and assignments related to every topic that is taught.
In addition to that, the course also offers to learn various blooming technologies like Natural Language Processing and Deep Learning which helps us to deal with business problems. Eventually, you will learn about Face Detection Techniques using Python, Business Intelligence Publisher, and Tensor Flow. The main objective of the course is to prepare you to deal with various real-life production problems by working with many projects related to machine learning and providing relevant insights or information to the clients.
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MODULE 1: ML Essentials Training
Courses No. of Hours Certificates Details Overview of Machine Learning Certification 1m ✔ Artificial Intelligence with Python - Beginner Level 2h 38m ✔ Artificial Intelligence with Python - Intermediate Level 4h 34m ✔ ChatGPT Complete MasterClass - 2024 5h 8m ✔ AI Machine Learning in Python 8h 37m ✔ Microsoft Excel - Beginners 6h 44m ✔ Supervised Machine Learning with R 2024 - Linear Regression 3h 05m ✔ Machine Learning with Python 2024 5h 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 Python 3h 26m ✔ Machine Learning with Python Case Study - Covid19 Mask Detector 2h 05m ✔ Deep Learning: Automatic Image Captioning for Social Media with Tensorflow 2h 23m ✔ Develop a Movie Recommendation Engine 51m ✔ Machine Learning Python Case Study - Diabetes Prediction 1h 02m ✔ Predictive Analytics and Modeling with Python 8h 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 R 20h 25m ✔ Time Series Analysis and Forecasting using R 4h 34m ✔ Project - Fraud Analytics using R 2h 34m ✔ Project - Marketing Analytics using R and Microsoft Excel 2h 9m ✔ Case Study - Customer Analytics using Tableau and R 2h 7m ✔ Case Study - Pricing Analytics using Tableau and R 2h 39m ✔ Cluster Analysis and Unsupervised Machine Learning - K-Means Clustering using R 43m ✔ Machine Learning Project using Caret in R 1h 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 Excel 1h 05m ✔ Microsoft Excel - Advanced 9h 21m ✔ Microsoft Excel Charts and SmartArt Graphics 6h 43m ✔ Power Excel Training 5h 14m ✔ MS Excel Shortcuts 7h 7m ✔ Mastering Microsoft Excel Date and Time 2h 47m ✔ Date and Time Functions Microsoft Excel Training 2h 37m ✔ Shortcuts in Microsoft Excel 24m ✔ Graphs & Charts in Microsoft Excel 2013 2h 6m ✔ Financial Functions In MS Excel 2h 36m ✔ Microsoft Excel Solver Tutorial 48m ✔ Microsoft Excel for Financial Analysis 49m ✔ Microsoft Excel for Data Analyst 2h 35m ✔ Business Intelligence using Microsoft Excel 5h 06m ✔ MS Excel Simulations Training 2h 06m ✔ Microsoft Power BI - Business Intelligence for Beginners to Advance 10h 34m ✔ Power BI: Software for Data Visualization 3h 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 Estimation 2h 29m ✔ Project on ML - Supply Chain Demand Trends Analysis 1h 09m ✔ Predicting Prices using Regression Techniques 2h 18m ✔ Project on ML - Fraud Detection in Credit Payments 1h 51m ✔ Project on ML - Banking and Credit Frauds 44m ✔ Project on ML - Churn Prediction Model using R Studio 1h 22m ✔ Random Forest Algorithm using Python 1h 27m ✔ Predictive Analytics and Modeling with Python 8h 26m ✔ Projects and Case Studies on Machine Learning with Python 4h 5m ✔ Machine Learning Python Case Study - Diabetes Prediction 1h 02m ✔ Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression 2h 07m ✔ Project on R - HR Attrition and Analytics 2h 08m ✔ Predicting Credit Default using Logistic Regression in Python 3h 3m ✔ House Price Prediction using Linear Regression in Python 3h 2m ✔ Poisson Regression with SAS Stat 2h 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 Tensorflow 13h 39m ✔ Deep Learning ZERO to HERO - Hands-on with Python 11h 17m ✔ Machine Learning with MATLAB 2h 15m ✔ Projects and Case Studies on Machine Learning with Python 4h 5m ✔ Bayesian Statistics & Supervised Machine Learning: A/B Testing 57m ✔ Octave Machine Learning Training - Beginners to Beyond 3h 35m ✔ Artificial Intelligence and Machine Learning Training Course 11h 51m ✔ 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
What is Machine Learning?
Machine Learning is training the machines to analyze the data using the algorithms and predicting the outcome. There are various components of machine learning:
- Supervised Learning: This technique involves target and independent variables. It identifies the patterns from the training data and applies it in the testing data set. Examples: Regression, Classification
- Unsupervised Learning: This technique doesn’t involve the target variable while analyzing the data. The primary objective of this algorithm is to find out the hidden structures in the data and provide the result. Example: Clustering
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
[Source - Indeed]
Which skills will you learn in this Course?
Machine Learning Training in Mumbai consists of all the tools and components that are required to be a successful Machine Learning professional in the future. The initial part of the course deals with various concepts related to machine learning and Artificial Intelligence. You will also learn to code in two different languages used to execute machine learning algorithms i.e. R and Python. In addition to the above two, you will also learn about Natural Language Processing and Deep Learning Tools. At the end of this course, you will be assigned different projects related to different modules which will help you to understand the business objective and deriving the solutions from it.
Pre-requisites
- There are no such required prerequisites for the professionals to learn machine learning. However, familiarity with the concepts can help one to grasp the concepts easily.
- Basics of Statistics and Probability: Statistics is the first step to understand machine learning concepts. Statistics is mainly divided into Descriptive and Inferential Statistics. Descriptive Statistics is summarizing the insights from huge data sets through visualizations and Inferential Statistics is drawing the conclusions from the smaller groups and applying the drawn conclusions to the larger group.
- Programming Skills: Programming allows us to implement our thinking effectively. So, knowing the basics and syntax of the programming languages required in Machine Learning (R or Python) is an important prerequisite.
- SQL skills: Many organizations need machine learning professionals to know SQL. So, having basic knowledge in SQL will boost up your learning.
- Business and Domain Knowledge: There are numerous data sets associated with different businesses or industries. So familiarity with various domains can be helpful.
Target Audience
- Machine Learning Training in Mumbai is mainly designed for professionals, learners, or students who are interested in understanding the working of machine learning techniques and the influence of it in all corporate boardrooms and the individuals who want to take up a career in Machine Learning. It is also best suited for the beginners as it is designed simply. Experienced professionals, Architects, Statisticians, Business Analyst, Data Analyst and those who are willing to make a transition to be Machine Learning Experts can take up this course.
Machine Learning Training in Mumbai – FAQ’s
What are the job prospects in Machine Learning Course?
Career prospects in machine learning are immense and widespread. Every sector deals with the data so getting the relevant information from the raw data and predicting the outcome will help the organizations to reach its goal. Every job portal has over 100000 open positions for machine learning professionals worldwide. There are many career options related to machine learning are NLP Scientist, Data Scientist, Machine Learning Engineer, etc.
What is the average package of Machine Learning Professionals?
The average package of an entry-level varies from 5-7 lakhs while an experienced professional can earn from 9-13 lakhs.
What is the main difference between Machine Learning and Data Science?
These two terms are often confused by everyone, however both deal with specific algorithms. Data science identifies different patterns to predict the outcome by applying algorithms to the dataset while machine learning is training the machines to perform in a certain way by feeding the required algorithms.
Why should you take up the Machine Learning training in Mumbai?
Mumbai has many operational and development centers of many organizations. It has a lot of IT infrastructure and startups which are hiring machine learning professionals. Though it is not expected to be the IT hub of India it has many house offices of various corporate units. Navi Mumbai, which is emerging to be an office hub in the future will have many companies including startups and top organizations which are planning to hire more professionals.
What is the Machine Learning market trend in Mumbai?
Machine learning trend is increasing exponentially with proper learning platforms and institutes that offer machine learning training and course to the business professionals or students. Some of the top companies in Mumbai that hire machine learning professionals are Jio, Jellyfish, HotStar, Fractal Analytics, Capgemini, Morgan Staley, Aditya Birla, etc. After completing Machine Learning Training in Mumbai, you will be able to handle the activities and works related to machine learning in the production environment using respective algorithms and provide the solutions to the client.
Sample Preview
Career Benefits
- Machine Learning Training in Mumbai comprises of all the modules that are required to be a successful Machine Learning expert. Along with the learning benefits of the course, you will also deal with projects and data sets for various modules like artificial intelligence or natural language processing in which you can apply your knowledge to apply the required algorithms to come up with the solutions with better accuracy.
Reviews
Machine Learning – Statistics Essentials
I enjoyed this Machine learning course and found the statistical approaches useful – especially the regression and cluster sampling sections. The course pacing was easy to understand, and the topics covered in a comprehensive but not over-explained way. Thanks for giving such an interesting and useful course!
Matthew Rolley
Great!
Nice introductory Machine learning certification 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 Machine learning training 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 with R
The Machine learning certification covers a wide range of areas into linear and multiple linear regression and decision trees. It also covers both theory and application using R neural network, time series analysis, and gradient boosting machines. I have enjoyed learning in this Machine learning course very much and found it useful in my work.
Linked
Tsui Man Kit
Summary
This Machine learning training course is good and it shows practical examples as well. However in the first part it shows examples with not appropriate enlarge, so the commands and the outputs are not properly visible. I suggest to include more practical examples related to MatLab. The second part’s examples are visible.
Linked
Attila Nagy
