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Build hands-on Data Science / AI skills from practicing Data scientists, solve industry grade DS projects with real world companies data and get certified. Go from Zero to Job ready in 12 months.

MLPLUS ALUMNI WORK AT

Customer product ratings prediction

Malware detection

Sentiment analysis on customer reviews

Customer lifetime value prediction

Eleckart market mix modeling

Defect detection using computer vision

Restaurant visitor forecasting

Credit card fraud detection

and 30+ more case studies...

- Foundations of Machine Learning Lessons: 28 Tasks: 05
- Python Programming Lessons: 50 Tasks: 10
- SQL for Data Science - Level I Lessons: 2 Tasks: 4
- SQL for Data Science - Level II Lessons: 26 Tasks: 3
- SQL for Data Science - Level III Lessons: 13 Tasks: 2
- SQL for Data Science - Window Functions Lessons: 8 Tasks: 2
- Numpy Library Lessons: 29 Tasks: 05
- Pandas Library Lessons: 84 Tasks: 16

- Linear Algebra for Machine Learning Lessons: 19 Tasks: 1
- Statistics for Data Science Lessons: 28 Task: 01
- Exploratory Data Analysis (EDA) Lessons: 98 Tasks: 18
- Linear Regression and Regularisation Lessons: 54 Tasks: 10
- Classification: Logistic Regression Lessons: 35 Tasks: 06
- Imbalanced Classification Lessons: 25 Tasks: 04
- Supervised Algorithms Lessons: 57 Tasks: 10
- Ensemble Learning Lessons: 20 Tasks: 04

- Launch app in AWS EC2 Lessons: 19 Tasks: 02
- Launch app in AWS Lambda Lessons: 09 Task: 02
- Launch app in AWS Sagemaker Lessons: 09 Tasks: 02
- PySpark for Data Science - I: Fundamentals Lessons: 24 Tasks: 02
- PySpark for Data Science - II: Statistics for Big Data Lessons: 22 Tasks: 02
- PySpark for Data Science - III: Data Cleaning and Analysis Methods Lessons: 21 Tasks: 04
- PySpark for Data Science - IV: Machine Learning Lessons: 25 Tasks: 01
- PySpark for Data Science - V: ML Piplines Lessons: 17 Tasks: 01

- Time Series Forecasting Lessons: 31 Task: 06
- Time Series Analysis Part 1 Lessons: 02 Task: 01
- Time Series Analysis Part 2 Lessons: 02 Task: 01
- Time Series Forecasting - Statistical Models Lessons: 15 Task: 01
- Time Series Forecasting - Complete ARIMA Modeling and Tests Lessons: 15 Task: 01
- Deep Dive into Multi Time Series Forecasting - Vector Auto Regression Lessons: 20 Task: 01
- Time Series Forecasting - Singular Spectrum Analysis Lessons: 18 Task: 01
- Feature Engineering and Intervention Analysis for Time Series Projects - Part 1 Lessons: 17 Task: 01
- Feature Engineering and Intervention Analysis for Time Series Projects - Part 2 Lessons: 16 Task: 01

- Estimating Customer Lifetime Value Lessons: 31 Tasks: 06
- Microsoft Malware Detection Project Lessons: 41 Tasks: 08
- Credit Card Fraud Detection Lessons: 51 Tasks: 10
- Restaurant Visitor Forecasting Lessons: 57 Tasks: 10
- Optimizing marketing spend using Market Mix Modeling (MMM) Lessons: 35 Tasks: 06
- Predict Rating given Amazon Product Reviews using NLP Lessons: 25 Tasks: 04
- Uplift Modeling: Estimating Incremental Impact of Marketing Campaigns Lessons: 11 Tasks: 01
- Uplift Modeling Part 2: Modeling Strategies Lessons: 18 Tasks: 02
- Survival Analysis: Predicting Time to Event in real world applications Lessons: 16 Tasks: 01
- Survival Analysis: Predicting Time to Event for Lungs Cancer Patients Lessons: 14 Tasks: 01
- Attribution Models in Marketing Lessons: 18 Tasks: 01
- Dynamic Pricing using Multi Armed bandit(Reinforecment learning) Lessons: 14 Tasks: 01
- Reinforcement Learning for Online Ad Serving With Multi Armed Bandits Lessons: 13 Tasks: 01
- Portfolio Optimiziation of volatile assests: Effecient Frontier- Python Lessons: 15 Tasks: 01

- Foundations of Deep Learning Lessons: 18 Tasks: 02
- Foundations of Deep Learning in Python Lessons: 33 Tasks: 06
- Applied Deep Learning with PyTorch Lessons: 43 Tasks: 08
- Computer Vision with Convolutional Neural Networks Lessons: 28 Tasks: 06
- Sequence Modelling with RNN and LSTMs Lessons: 26 Tasks: 06
- Advanced Topics in Deep Learning Lessons: 42 Tasks: 08

Primary Instructor

Hi everyone, I’m Selva Prabhakaran, Your instructor

I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

Selva Prabhakaran

Principal Data Scientist

Program Advisors

Sriram Krishnamoorthy

Assistant Professor | UC Santa Barbara | Ex Ohio State University

Sriram is a seasoned engineer and academician, and has been globally recognized from his publications on technology. He currently serves as the Assistant Professor University of California, Santa Barbara He has been empaneled as the academic advisor for the Data Science Program

Rajagopal Sathyamurthi

Tech leader, Amazon | ex-CTO | Stanford and BITS Pilani Alum

Rajagopal is a hands-on engineering leader with 8+ years of experience in driving full-stack engineers, data engineers, data scientists and QA engineers across distributed delivery environments. He has been empaneled as the technical advisor for the Data Science Program

Surya Parameswaran

ML Architect, CredAvenue | Ex DS, Groupon | Rutgers University

Surya is an experienced Data Science leader with a demonstrated history of working in the e-commerce industry. Strong engineering professional skilled in Machine learning. He has been empaneled as the data science advisor for the program

Wazim Mohammed Ismail

Postdoctoral Fellow Mayo Clinic | Ex-Indian University

Wazim has multiple years of experience in solving computational challenges in genomics. He is known for his research on mutation spectrum analysis in next Gen Sequencing data (BWA, Phylip,Python, Java). He has been empaneled as the statistics advisor for the program

Program Mentors

Preetam Nayak

Data Science Associate,

Kearney | Ex- Mu-Sigma

Kearney | Ex- Mu-Sigma

Shraddha Sutar

Data Scientist, Red Hat |

Ex - University of Illinois

Ex - University of Illinois

Yerriswamy M

Data Science Consultant,

Accenture | Ex- Philips

Accenture | Ex- Philips

Jayant Raisinghani

Data Scientist, Humana |

University of Texas, Austin University

University of Texas, Austin University

and 30+ industry experts...

Get Data Science Jobs

Deploy your first AI software

Ideate AI based products

Be able to oversee data science projects

Launch AI business

Crack interviews

**Data Science Aspirants** seeking jobs

**Data Science Practitioners** looking to hone skills

**Professionals** who want to switch to Data Science career

**Non-Tech Managers** who want to oversee DS projects

**Leaders** who to digitally transform their organization

**Entrepreneurs** wishing to launch a business in AI space

Verifiable Certificate of Accomplishment

When You Complete This Course, You get certificate for each of the 30 Courses in Machine Learning Plus University.

“You explain things very simple and very clear....”

“His simple way of explaination gave me confidence....”

“Course was made and explained in very simple way....”

In my early days of career, I used ML+ content to gain experience on different concepts and projects. The content over there is easy to understand and also very engaging. Many thanks to the team for providing me a platform to play around with data.

Despite being in this field for few years, the courses add a lot of value for easy understanding of the concepts.Must have for every data scientist who wants to keep growing in this space!

The complete machine learning and deep learning path is an absolute no-brainer! Even with zero data science experience, I was able to grasp all the concepts. Helped me big time in my projects.

- Q. Do I need any programming experience before joining Machine Learning Plus University?
- Q. Do I need machine learning experience ?
- Q. What happens after I purchase?
- Q. Do I need any special software or hardware?
- Q. Can I pause/cancel my subscription?
- Q. Do you provide bulk Machine Learning Plus University memberships to business, colleges etc?