LEARN BY EXAMPLE PYTHON
> Learn to use Python to solve problems in Data Analysis, Machine Learning or Web Development.
> Gain in-depth knowledge on Python loops, data structures, functions & classes
> Find solutions to basic programming tasks
Loonycorn is us, Janani Ravi and Vitthal Srinivasan. We have studied at Stanford, been admitted to IIM Ahmedabad and have spent years working in tech, in the Bay Area, New York, Singapore and Bangalore.
Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft
Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too
LEARN PYTHON PROGRAMMING - EASY AS PIE
> Introductory Python with Functional language constructs- Python syntax Functions and function objects Lambda functions Iterators, Exceptions and File-handling
> Database operations, Auto-generating spreadsheets, Text processing and NLP
>Website scraping and complexities
Loonycorn is us, Janani Ravi and Vitthal Srinivasan. We have studied at Stanford, been admitted to IIM Ahmedabad and have spent years working in tech, in the Bay Area, New York, Singapore and Bangalore.
Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft
Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too
FROM 0 TO 1 MACHINE LEARNING NLP PYTHON CUT TO THE CHASE
> Machine Learning, Natural Language Processing with Python, Mitigating Overfitting with Ensemble Learning
> Implement ML in Python and Sentiment Analysis
> Solve problems> text summarization & classification
Loonycorn is us, Janani Ravi and Vitthal Srinivasan. We have studied at Stanford, been admitted to IIM Ahmedabad and have spent years working in tech, in the Bay Area, New York, Singapore and Bangalore.
Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft
Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too.
MACHINE LEARNING IN THE CLOUD WITH AZURE MACHINE LEARNING
> Master in exposing Azure ML as a web services and integrate Azure ML in web applications
> Process real-world data-sets and use regression ML alogs
> Classification of machine learning models
Manuj has been in the software industry since 1997 and has worked with early stage businesses to Fortune 100 mega corporations. He is passionate about sharing all his knowledge that he has acquired over the years. He is particularly interested in helping technical and non-technical entrepreneurs, founders and co-founders of tech startups. He strives to bring courses which provide practical know-how and advice about designing, architecting, optimizing and executing on your next big idea.
AWS MASTER CLASS DATABASES IN THE CLOUD-WITH AWS RDS
> Secure database for a global audience
> Design cloud-based relational database
> Complete AWS RDS Clouddatabase projects
Manuj has been in the software industry since 1997 and has worked with early stage businesses to Fortune 100 mega corporations. He is passionate about sharing all his knowledge that he has acquired over the years. He is particularly interested in helping technical and non-technical entrepreneurs, founders and co-founders of tech startups. He strives to bring courses which provide practical know-how and advice about designing, architecting, optimizing and executing on your next big idea.
BREAK AWAY: PROGRAMMING AND CODING INTERVIEWS
> Fundamentals of memory management and point concepts
> Sort and search algorithms function along with the speed and efficacy
> Data structures and solve a dozen common programming problems
Loonycorn is us, Janani Ravi and Vitthal Srinivasan. We have studied at Stanford, been admitted to IIM Ahmedabad and have spent years working in tech, in the Bay Area, New York, Singapore and Bangalore.
Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft
Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too
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