Why Choose Machine Learning for AI Program?
Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students
NYC Flight data
The dataset contains 19 variables and over 336k observations on flight data in the year 2013
European Premier league
The dataset contains 17 variables and over 400 observations on Premier league football from years 2012-16
Wine quality data
The data set contains 12 variables and over 4000 observations on varieties of red wine.
Automobile pricing data
The dataset contains 25 variables and over 200 observations on performance & pricing of automobiles in USA
Facebook activity data
The dataset contains 15 variables and 100K observations on pseudo Facebook activity data
Identify stock price patterns
In this project we identify stock price patterns of top companies like Google & Apple
Exclusive Interview preparation guides, Career Support, job offers and many more..!
Our world-class faculty are experienced working professionals working in senior positions of top-tier companies
What are you going to learn ?
Weeks ( 1 - 9 )
Module 01: Introduction to Data Science
Module 02: Introduction to Python
Module 03: Descriptive statistics and Probability Distributions
Module 04: Important Packages in Data Science (Numpy and Pandas)
Module 05: Charting Fundamentals with Matplolib and Seaborn
Module 06: Step into the world of Data Science
Module 07: Introduction to Machine Learning
Module 08: Linear and Logistic Regression
Module 09: Module 09: Linear and Logistic Regression
Module 10: Decision Tree and Random Forest
Module 11: Boosting
Module 12: Support Vector Machine
Module 13: Stacking
Module 14: Unsupervised learning (Anomaly Detection)
Module 15: Research Methodology in Machine Learning
Weeks ( 10 - 12 )
Module 16: PCA and LDA
Module 17: KNN
Module 18: Kmeans Clustering
Module 19: Market Basket Analysis
Module 20: Recommender Systems
All the courses are instructor-led and take place online. The online interface lets you and the faculty have a two-way interaction. It’s as good as sitting in a physical classroom.
All classes take place over the weekends in the mornings. There’ll be one class of 2 to 2.5 hours on Saturdays and Sundays each. This means that you can now acquire in-demand skills without compromising on your schedule.
Yes, the recordings of the trial classes are uploaded.
In physical classrooms, students generally feel hesitant to ask questions. If you miss any class or didn’t understand some concepts, you can’t go through the class again. However, in online courses, it’s possible to do that. We share the recordings of all our classes after each class with the student. Also, there’s no hassle of long distance commuting and disrupting your schedule.
We believe that unless you implement the concepts studied in the classes, you are unable to join the dots and hence can’t see the entire picture. Our capstone rojects let you apply the learned concepts to real-world data sets. You’ll be working on real-time data-sets (which can run in 100s of MBs or possibly in GBs!) which you get to choose from a variety of domains such as retail, finance, social media, healthcare, etc. These data-sets have been curated from top sources such as World Bank, US Health Department, Carnegie Mellon, Stanford and many more.
You’ll get access to our virtual computing lab through the login credentials provided to you. The virtual machines will enable you to work on “Big Data” sets for your projects and practice hands-on too.
We provide certification of completion to students who attend at least 70% of the classes. After the course ends, we conduct a certification exam that evaluates them on the skills they have learnt. Certification from Tech Mahindra is provided to only those who clear the exam. The exam is purely case-based and not even a single theory question is asked.
We provide career workshops and industry immersion sessions to help you become ready for roles you are aspiring for. We also help you in resume review and interview preparation. If you diligently follow our advice, you should start getting interview calls as soon as you finish the course.