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Top-rated machine learning course (with exclusive lab access)

Learn Python, NumPy, Scipy, Pandas, Jupyter, Scikit-learn, Regression, Clustering, Classification, Support Vector Machines, Random Forests, Decision Trees and Dimensionality Reduction From Industry Experts

  45+ hours training

  90 days of Lab

  24x7 Support

  7 Projects

About the Course

Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such an accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

Machine learning is behind these innovations. In the recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.

Most of the domains that were considered specializations are now being merged into Machine Learning. This has happened because of the following:

  • Better research and algorithms
  • Better computing resources
  • Distributed computing infrastructures
  • Availablity of Big Data

Every domain of computing such as data analysis, software engineering, and artificial intelligence is going to be impacted by Machine Learning. Therefore, every engineer, researcher, manager or scientist would be expected to know Machine Learning.

So naturally, you are excited about Machine learning and would love to dive into it. This specialization is designed for those who want to gain hands-on experience in solving real-life problems using machine learning and deep learning. After finishing this specialization, you will find creative ways to apply your learnings to your work. For example

  • You would like to build a robot which can recognize faces or change the path after discovering obstacles on the path.
  • Or maybe you would like to unearth hidden gems (like predicting next year revenue or fraudulent transactions or building a recommendation engine etc) in your company's tons of data(logs, financial records, HR reports or e-commerce transactions reports).

See you in the specialization and happy learning!

Key Features

1 course

Learn from industry experts. Follow the suggested order or choose your own.

Projects & Lab

Apply the skills you learn on a distributed cluster to solve real-world problems.

Certificate

Highlight your new skills on your resume or LinkedIn.

Best-in-class Support

24×7 support and forum access to answer all your queries throughout your learning journey.
Enrollment
SELF-PACED LEARNING
Start Immediately

90 days lab

Learning Path
Download Course Syllabus

Course

About the Course


This course is a part of the Specialization Course on Machine Learning and Deep Learning

1. Introduction to Statistics


2. Machine Learning Applications & Landscape


3. Building end-to-end Machine Learning Project


4. Classifications

Training a Binary classification, Performance Measures, Confusion Matrix, Precision and Recall, Precision/Recall Tradeoff, The ROC Curve, Multiclass Classification, Multilabel Classification, Multioutput Classification


5. Training Models

Linear Regression, Gradient Descent, Polynomial Regression, Learning Curves, Regularized Linear Models, Logistic Regression


6. Support Vector Machines

Linear SVM Classification, Nonlinear SVM Classification, SVM Regression


7. Decision Trees

Training and Visualizing a Decision Tree, Making Predictions, Estimating Class Probabilities, The CART Training Algorithm, Gini Impurity or Entropy, Regularization Hyperparameters, Regression, Instability


8. Ensemble Learning and Random Forests

Voting Classifiers, Bagging and Pasting, Random Patches and Random Subspaces, Random Forests, Boosting, Stacking


9. Dimensionality Reduction

The Curse of Dimensionality, Main Approaches for Dimensionality Reduction, PCA, Kernel PCA, LLE, Other Dimensionality Reduction Techniques


10. Quizzes, gamified assessments & projects

Projects

Projects

1. Predict the median housing prices in California

We start Machine Learning course with this end-to-end project. Learn various data manipulation, visualization and cleaning techniques using various libraries of Python like Pandas, Scikit-Learn and Matplotlib.


2. Classify handwritten digits in MNIST dataset

The MNIST dataset is considered as "Hello World!" of Machine Learning. Write your first classification logic. Starting with Binary Classification learn Multiclass, Multilabel, Multi-output classification and different error analysis techniques.


3. Noise removal from the images

Build a model which takes noisy image as an input and outputs the clean image.


4. Predict the class of flower in IRIS dataset

IRIS dataset contains 3 classes of 50 instances each, where each class refers to a type of iris plant. The three classes in this dataset are Setosa, Versicolor, and Verginica. Learn Decision Trees, CART algorithm and Ensemble method. Then use Random Forest classifier to make predictions.


5. Predict which passengers survived in the Titanic shipwreck

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. In this project, you build a model to predict which passengers survived the tragedy.


6. Predict bikes rental demand

Build a model to predict the bikes demand given the past data.


7. Build a spam classifier

Build a model to classify email as spam or ham. First, download examples of spam and ham from Apache SpamAssassin’s public datasets and then train a model to classify email.

Certificate

Certificate

Earn your certificate

Our course is exhaustive and the certificate rewarded by us is proof that you have taken a big leap in Machine Learning and Deep Learning.


Differentiate yourself

The knowledge you have gained from working on projects, videos, quizzes, hands-on assessments and case studies gives you a competitive edge.


Share your achievement

Highlight your new skills on your resume, LinkedIn, Facebook and Twitter. Tell your friends and colleagues about it.

 Course Certificate Sample
Course Creators
Sandeep Giri

Sandeep Giri

Founder at CloudxLab
Past: Amazon, InMobi, D.E.Shaw
Course Developer
Abhinav Singh

Abhinav Singh

Co-Founder at CloudxLab
Past: Byjus
Course Developer
 Jatin Shah

Jatin Shah

Ex-LinkedIn, Yahoo, Yale CS Ph.D.
IIT-B
Course Advisor

Reviews

(4.9 out of 5)
...

I have started learning 3 months ago and I really gained much info and practical experience. I completed the “Big Data with Spark” course and the learning journey really exceeded my expectations.

The course structure and topics were great, well organized and comprehensive, even the basics of Linux were covered in a very simple way. There were always exercises and hands-on that build better understanding, also the lab environment and provided online tools were great help and let you practice everything without having to install anything on your PC except the web browser.

In addition, for the live sessions, it was really a joy attending them each weekend, our instructor “Sandeep Giri”, besides his great experience and knowledge, he was generous, helpful and patient answering all attendees questions in such a way that he could go for more examples and hands-on or even searching the documentation and try new things, I gained much from other attendees’ questions and the way Sandeep responded to them.

This was a great experience having this course and I’m going for more courses in Big Data and Machine Learning with CloudxLab and I recommend it for all my friends and colleagues who look for better learning.

...

Must have for practicing and perfecting hadoop. To setup in PC you need to have a very high end configuration and setup will be pseudo node setup.. For better understanding I recomend CloudxLab

...

This course is suitable for everyone. Me being a product manager had not done hands-on coding since quite some time. Python was completely new to me. However, Sandeep Giri gave us a crash course to Python and then introduced us to Machine Learning. Also, the CloudxLab’s environment was very useful to just log in and start practising coding and playing with things learnt. A good mix of theory and practical exercises and specifically the sequence of starting straight away with a project and then going deeper was a very good way of teaching. I would recommend this course to all.

...

They are great. They take care of all the Big Data technologies (Hadoop, Spark, Hive, etc.) so you do not have to worry about installing and running them correclty on your pc. Plus, they have a fantastic customer support. Even when I have had problems debugging my own programs, they have answered me with the correct solution in a few hours, and all of this for a more than reasonable price. I personally recommend it to everyone :)

...

Machine learning courses in especially the Artificial Intelligence for the manager course is excellent in CloudxLab. I have attended some of the course and able to understand as Sandeep Giri sir has taught AI course from scratch and related to our data to day life…

He even takes free sessions to helps students and provides career guidance.

His courses are worthy and even just by watching YouTube video anyone can easily crack the AI interview.

FAQ

In Self-paced learning, you will get,

  1. Lifetime access to the self-paced course including videos, assessments, quizzes, and projects
  2. Recordings of the previous batch of instructor-led training
  3. 24x7 support using the discussion forum

This course is for engineers, product managers and anyone who has a basic know-how of any programming language. We will cover foundations of linear algebra, calculus and statistical inference where ever required so that you can learn the concepts effectively.

We offer mentoring sessions to our learners with industry leaders and professionals so you can get 1 on 1 help with any questions you may have, whether your questions are technical, job-related or anything else.

This is a paid service available to learners enrolling in the course. Please write to us at reachus@cloudxlab.com for more details

You can check https://youtu.be/dXCx4anEcgU for watching the Course Preview.

Course requires a good internet (1 Mbps or more) and a browser to watch videos and do hands-on the lab. We've configured all the tools in the lab so that you can focus on learning and practicing in a real-world cluster.

For self-paced course, we provide 100% fees refund if the request is raised within 7 days from enrollment date. Thereafter, no refund is provided.

For instructor-led course, we provide 100% refund if not more than 1 live session has been conducted -- and we provide 50% refund if 2-4 live sessions have been conducted. If 5 or more live sessions have been conducted, then no refund will be provided.
Yes, you can renew your subscription anytime. Please choose your desired plan for the lab and make payment to renew your subscription.

At CloudxLab, we have always believed in quality education must be affordable for everyone so that we can help learners achieving career goals and build innovative products.

Please follow this post for more details on the financial aid.

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Have more questions? Please contact us at reachus@cloudxlab.com