Advait Ramesh Iyer's repositories
big-data-analytics
Mathematics of ML and concepts in Model Optimization, Machine Learning with PySpark, Deep Learning with CNN and MLP
financial-analytics
Machine Learning for Finance, Portfolio Management and Optimization
advaitiyer.github.io
Data Scientist's Portfolio covering the topics: Big Data Analytics, Information Visualization, Advanced Data Mining, Applied Data Analytics, Financial, and Marketing Analytics, Artificial Intelligence, and Deep Learning.
advanced-data-mining
Topics: Network Analysis with NetworkX, Regularization and Resampling Methods, Non-cryptographic Hashing Algorithms, Machine Learning, and Natural Language Processing
airflow-tutorial
Apache Airflow tutorial
applied-analytics
Applied Statistical Learning, A/B testing with Marketing Analytics, Data Analytics for Business Intelligence
data-science-mini-projects
Data Science for Network Analysis, Political Sentiment Analysis, and other Miscellaneous Short Projects
information-visualization
Information Visualization for Statistical Learning, Network Analysis, and Story Telling using ggplot2, D3, and Adobe Illustrator
intro-to-artificial-intelligence
Project on Othellobot, Mathematics of Reinforcement learning, Implementation of automatic differentiation
intro-to-data-science
Introduction to Data Science and Machine Learning algorithms: SVM, Naive Bayes, Decision Trees, Random Forests
learn-python
Source Code Repository for the IST256 Python course
python-assessment
A basic list manipulation test in Python to assess the quality of a software developer.