advaitiyer Goto Github PK

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

big-data-analytics

Mathematics of ML and concepts in Model Optimization, Machine Learning with PySpark, Deep Learning with CNN and MLP

data-science-mini-projects

Data Science for Network Analysis, Political Sentiment Analysis, and other Miscellaneous Short Projects

deep-learning

financial-analytics

Machine Learning for Finance, Portfolio Management and Optimization

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

leetcode-sql-70

python-assessment

A basic list manipulation test in Python to assess the quality of a software developer.