Why Choose Deep Learning Specialization Program?
Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students
Mercedes-Benz Greener Manufacturing time
The dataset contains 386 variables & 4210 observations of mercedes manufacturing data
Wine Quality data analysis
The dataset contains 12 variables and over 1500 observations on wine quality
Detect diabeties in patients
The dataset contains 9 variables and 769 observations on suspected patients
Analysis of Gun Violence in USA
"The dataset contains 6 attributes with 501 instances of Children killed & injured across all the states of the USA."
Adult Income Dataset
The dataset has 15 attributes & 32562 instances about adult income and some data of other parameters
Supermarket Purchase Analysis
The dataset contains 6 variables & 702 observations identifying shopping behaviour of a segment of customers.
Exclusive Interview preparation guides, Career Support, Placement Opportunity 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
Weeks ( 13 - 15 )
Module 21: Introduction to Deep Leaning
Module 22: Basics of tensorflow programming
Module 23: Introduction to Neural Networks
Weeks ( 16 - 21 )
Module 24: Introudction to Spacy Toolkit - it's Data Structures & Models
Module 25: Basic Text Classification Model
Module 26: Word Vectors & Representations
Module 27: RNN & CNN in Text Classification
Module 28: Standard Text Problems - Classification, Entity Prediction, Sentiment Analysis
Module 29: Transformer Based Text Models - Elmo, GPT2 & Bert
Module 30: Standard Text Problems - Classification, Entity Prediction, Sentiment Analysis
Module 31: NLP Production Grade Use case
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 projects let you apply the learned concepts to real-world data sets. You’ll be working on real-time datasets (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.