Learn from Home Offer

Learn from Home Offer
This Machine Learning Certification includes 58 courses with 220+ hours of video tutorials and Lifetime access. Learn concepts such as Machine Learning in MS EXCEL, Machine learning using PYTHON, Deep learning, Data Science with R, Face Detection in Python, Bayesian Machine Learning, Projects on Machine learning and much more right from the basics to advanced concepts.
Courses | You get access to all 58 courses, Projects bundle. You do not need to purchase each course separately. |
Hours | 220+ 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 who is 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 58 courses, Projects |
Certification Type | Course Completion Certificates |
Verifiable Certificates? | Yes, you get verifiable certificates for each course with a unique link. These link can be included in your Resume/Linkedin profile to showcase your enhanced Machine Learning Skills |
Type of Training | Video Course – Self Paced Learning |
In this section, we talk about all the courses that are offered under our Machine Learning Training along with their details.
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Overview of Machine Learning Certification | 1m | ✔ | |
Microsoft Excel - Master Basic Excel Skills in 6 Hours | 6h 44m | ✔ | |
Supervised Machine Learning in Python | 8h 37m | ✔ | |
Supervised Machine Learning with R 2023 - Linear Regression | 3h 05m | ✔ | |
Machine Learning with Python 2023 | 5h 19m | ✔ | |
Test - Machine Learning with Python Minor Test 1 | |||
Test - Machine Learning with Python Minor Test 2 | |||
Test - Excel Mock Exam | |||
Test - Machine Learning Assessment |
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 03m | ✔ | |
Predictive Analytics and Modeling with Python | 8h 27m | ✔ | |
Test - Machine Learning with Python Major Test | |||
Test - ML Assessment Exam | |||
Test - Mock Exam Machine Learning |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Machine Learning with R | 20h 28m | ✔ | |
Time Series Analysis and Forecasting using R | 4h 23m | ✔ | |
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 |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Statistical Tools in Microsoft Excel | 1h 11m | ✔ | |
Learn Microsoft Excel from A-Z: Advanced Level | 9h 21m | ✔ | |
Microsoft Excel Charts and SmartArt Graphics | 6h 4m | ✔ | |
Power Excel Training | 5h 15m | ✔ | |
MS Excel Shortcuts | 8h 22m | ✔ | |
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 15m | ✔ | |
Microsoft Power BI - Business Intelligence for Beginners to Advance | 10h 33m | ✔ | |
Power BI: Software for Data Visualization | 3h 3m | ✔ | |
Test - Excel Mock Exam | |||
Test - Excel Assessment Exam | |||
Test - Complete Excel Exam | |||
Test - Ultimate Excel Test |
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 | 2h 1m | ✔ | |
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 29m | ✔ | |
Predictive Analytics and Modeling with Python | 8h 27m | ✔ | |
Projects and Case Studies on Machine Learning with Python | 4h 5m | ✔ | |
Machine Learning Python Case Study - Diabetes Prediction | 1h 03m | ✔ | |
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression | 2h 07m | ✔ | |
Project on R - HR Attrition and Analytics | 2h 4m | ✔ | |
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 |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Machine Learning ZERO to HERO - Hands-on with Tensorflow | 13h 28m | ✔ | |
Deep Learning ZERO to HERO - Hands-on with Python | 10h 8m | ✔ | |
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 34m | ✔ | |
Artificial Intelligence and Machine Learning Training Course | 12h 15m | ✔ | |
Test - Machine Learning Assessment | |||
Test - ML Assessment Exam | |||
Test - Mock Exam Machine Learning |
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 |
This course from EduCBA has been carefully crafted in order to upgrade oneself in the genre of Data Analysis and Data Science. This training will go along way in making you the data scientist organizations are looking out for by means of making you understand deeper concepts of Machine Learning!
In the world where we generate 2.5 quintillion bytes (1 quintillion bytes = 1018 bytes!) every day, it becomes important for people who can read and derive meaning from that data. This course helps you be that person who can derive meaning out of this huge data with organizations. During this course, we would take you through different concepts starting from a beginner level to advanced concepts. One can master the concepts taught during this course so that it runs in the blood of the programmer and gets easy going for him to apply them in real-life situations. These topics when taught will boost up the confidence and the projects along with the course will add to push that confidence beyond 100%.
Our machine learning course from EduCBA is crafted with care to bring the best to you in the most concise yet not missing out on the most updated technologies in the industry. To list some highlights of this course here are a few:
This course will take you through a ride through all the components required for fulfilling the needs of an organization from a data scientist. This course has been so carefully articulated that a person with no experience can learn from a wide variety of topics and projects this course offers. Some highlights of projects in this course are:
Now that we understood the course offerings, one might still have question like what machine learning is at the first place. So, before we move ahead, we shall spend some time to learn about machine learning and then we shall talk about other details of this particular course.
Machine learning is a sub field of computer science where machines are trained to make decision with the help of data provided without any human interfere. For example, if we could teach a computer to tell if a person is laying about something, then the computer might be using machine learning as a software.
There are huge applications of machine learning such as Face recognition, image classification, stock market prediction, Emotion detection, self-driving cars etc. More details about all these are covered in the training course videos.
Machine learning uses knowledge from mathematics, statistics, computer science and programming to build and deploy algorithms that can do one of those tasks mentioned above.
Artificial intelligence is also a similar word to machine learning but has a wider scope than the later. In AI, the problems are generally of bigger and more complex nature such as teaching a machine to translate a language into another. However, these days the two words are frequently used as synonyms i.e. carry more or less same meaning.
Almost all modern computers, software, mobile and apps are using machine learning in one form or another. Amazon, Netflix, Facebook, Google and almost all other social media providers, online stores etc. are using machine learning in their applications, products and solutions.
This machine learning training provides three most important and highly in demand skill. These skills are the tangible benefits of this online training course:
Yes. It teaches all of what is needed to crack a data science interview and execute data science tasks in your organization. It makes you do projects and assignment to make sure you are able to solve problems in real life.
Most of our past students got successfully placed in MNC’s and startups as well after taking this course and so shall be you. Those students who are focused and completes all assignments and projects usually do much better in interviews and job application.
Some familiarity with high school math is recommended. But it is not all about mathematics. Mathematics help you understand the concept better and make you see a lot of insights and thus we recommended that you revise your math skill if you are not very confident. But at the same time, one can ignore the math part and still understand the content.
Knowledge of programming is required as most of the exercises are coding based. For non-technical background people or managers, the focus could be on application and concepts if they are not planning to do coding in their job.
I really 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!
Linked
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 definitely recommend it to anyone who just wants to dip their toes in the Machine Learning waters.
Linked
The Machine learning certification covers a wide range of areas into linear and multiple linear regression and decision tress. 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
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 clearly visible.
Linked
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Offer Ends inCourses | No. of Hours | |
---|---|---|
Overview of Machine Learning Certification | 0h 03m | |
Microsoft Excel - Master Basic Excel Skills in 6 Hours | 6h 44m | |
Supervised Machine Learning in Python | 8h 37m | |
Supervised Machine Learning with R 2023 - Linear Regression | 3h 05m | |
Machine Learning with Python 2023 | 5h 19m | |
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 | 1h 26m | |
Machine Learning Python Case Study - Diabetes Prediction | 1h 03m | |
Predictive Analytics and Modeling with Python | 8h 27m | |
Machine Learning with R | 20h 28m | |
Time Series Analysis and Forecasting using R | 4h 23m | |
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 | 1h 13m | |
Machine Learning Project using Caret in R | 1h 58m | |
Statistical Tools in Microsoft Excel | 1h 11m | |
Learn Microsoft Excel from A-Z: Advanced Level | 9h 21m | |
Microsoft Excel Charts and SmartArt Graphics | 6h 4m | |
Power Excel Training | 5h 15m | |
MS Excel Shortcuts | 8h 22m | |
Mastering Microsoft Excel Date and Time | 2h 47m | |
Date and Time Functions Microsoft Excel Training | 2h 37m | |
Shortcuts in Microsoft Excel | 0h 42m | |
Graphs & Charts in Microsoft Excel 2013 | 2h 6m | |
Financial Functions In MS Excel | 2h 36m | |
Microsoft Excel Solver Tutorial | 1h 22m | |
Microsoft Excel for Financial Analysis | 1h 23m | |
Microsoft Excel for Data Analyst | 2h 35m | |
Business Intelligence using Microsoft Excel | 5h 06m | |
MS Excel Simulations Training | 2h 15m | |
Microsoft Power BI - Business Intelligence for Beginners to Advance | 10h 33m | |
Power BI: Software for Data Visualization | 3h 3m | |
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 | 2h 1m | |
Project on ML - Banking and Credit Frauds | 1h 15m | |
Project on ML - Churn Prediction Model using R Studio | 1h 22m | |
Random Forest Algorithm using Python | 1h 29m | |
Projects and Case Studies on Machine Learning with Python | 4h 5m | |
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression | 2h 07m | |
Project on R - HR Attrition and Analytics | 2h 4m | |
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 | |
Machine Learning ZERO to HERO - Hands-on with Tensorflow | 13h 28m | |
Deep Learning ZERO to HERO - Hands-on with Python | 10h 8m | |
Machine Learning with MATLAB | 2h 15m | |
Bayesian Statistics & Supervised Machine Learning: A/B Testing | 1h 36m | |
Octave Machine Learning Training - Beginners to Beyond | 3h 34m | |
Artificial Intelligence and Machine Learning Training Course | 12h 15m |
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