SayantanMitra87
Senior Data Scientist with a background in experimental design, statistical analysis, EDA, & ML.
Humana | Baylor College of MedicineBoston
Pinned Repositories
Code_Library_
Customer_App-Behavior-Prediction
Behavioral analysis of customers using a free version of a financial app to correctly identify the stubborn customers, and make them a paid subscriber through targeted marketing
DataScienceBooks
Diabetes_Prediction
Predicting Diabetes among PIMA Indians
free-data-science-books
Free resources for learning data science
H20
Coursera course on H20 with added information for good reading sources
OngoBoost_Insight_Project
Predicted the probability of customers subscribing to a fitness app based on a gradient boosting classifier, which was built from 4+ data sources with 27M+ observations (>10GB).
PySpark
Tutorials and codebase for PySpark DataFrame and PySpark ML
Solar-Panel_Size_and_Cost_Prediction
Predicting the size and cost of solar panel units for residential setting based on power consumption.
Time-Series
Time-Series with Pandas, Statsmodels, ACF-PACF, ARMA-ARIMA, SARIMA, SARIMAX, VAR, VARMA, LSTM, Prophet
SayantanMitra87's Repositories
SayantanMitra87/Time-Series
Time-Series with Pandas, Statsmodels, ACF-PACF, ARMA-ARIMA, SARIMA, SARIMAX, VAR, VARMA, LSTM, Prophet
SayantanMitra87/Data-Science-Resources
Data Science related resources and cheatsheets
SayantanMitra87/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
SayantanMitra87/Data-science-best-resources
Carefully curated resource links for data science in one place
SayantanMitra87/Optimus
:truck: Agile Data Science Workflows made easy with Pyspark
SayantanMitra87/PySpark
Tutorials and codebase for PySpark DataFrame and PySpark ML
SayantanMitra87/pyspark-cheatsheet
🐍 Quick reference guide to common patterns & functions in PySpark.
SayantanMitra87/Code_Library_
SayantanMitra87/H20
Coursera course on H20 with added information for good reading sources
SayantanMitra87/OngoBoost_Insight_Project
Predicted the probability of customers subscribing to a fitness app based on a gradient boosting classifier, which was built from 4+ data sources with 27M+ observations (>10GB).
SayantanMitra87/2019
SayantanMitra87/Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models on Time Series data sets with a Single Line of Code
SayantanMitra87/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
SayantanMitra87/Coursera-Introduction-to-Discrete-Mathematics-for-Computer-Science-Specialization
Coursera
SayantanMitra87/coursera-mathematical-thinking-cs
♾ Exercises from the Mathematical Thinking in Computer Science course by University of California San Diego & National Research University Higher School of Economics on Coursera
SayantanMitra87/data-structures-algorithms-python
This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.
SayantanMitra87/DeepLearningForTimeSeriesForecasting
A tutorial demonstrating how to implement deep learning models for time series forecasting
SayantanMitra87/DP100
Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure
SayantanMitra87/EricMa
best spoon
SayantanMitra87/fastbook
The fastai book, published as Jupyter Notebooks
SayantanMitra87/feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
SayantanMitra87/homework
Assignments for CIS 192: Python Programming at the University of Pennsylvania.
SayantanMitra87/IBMQuantumChallenge2020
Quantum Challenge problem sets
SayantanMitra87/Introduction-to-Discrete-Mathematics-for-Computer-Science-Specialization
[Coursera] Introduction to Discrete Mathematics for Computer Science Specialization
SayantanMitra87/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
SayantanMitra87/OngoBoost
Insight project
SayantanMitra87/pymatch
SayantanMitra87/shap
A game theoretic approach to explain the output of any machine learning model.
SayantanMitra87/test
test repo
SayantanMitra87/YouTubeLI
Github repo to upload demo files of youtube videos and linkedin