SamyPal
Data Scientist, Statistician, and Engineer. Interested in new tech and creating new products with LLMS, and machine learning.
Baxter InternationalChicago, IL
Pinned Repositories
DataScience_Resources
Resources for Data Science (ML, DL, Stats, SQL, Python, etc)
dsp
Metis Data Science Bootcamp - Official Prework Repository
EGSMetalRecovery
Model framework to Predict Energy Requirement for Metal Recovery from Enhanced Geothermal Fluids
PriceTracker_EmailAlerts
This code checks price for a given product and emails user if price falls below a threshold value
Project-1-EDA
Exploring MTA data to optimize street campaign for signups to attend gala fundraiser for raising awareness for women in technology.
Project-2-MachineLearning-LinearRegression-TimeSeries
Predicting annual car sales from macroeconomic factors and Predicting MSRP of cars based on features, make and model
Project-3-ML-Classification
Project was used to build evaluate Framingham Heart Data to classify if an individual is risk prone to coronary heart disease.
Project4-UnsupervisedLearning-NLP
Project to cluster SP500 stocks based on their daily market value, sentiment analysis of stock market, and topic modeling of financial news to separate stock market related news for the last 1 year and 5 years.
Resume
Data_Scientist
SamyPal.github.io
Probing into the Data Scientist in me
SamyPal's Repositories
SamyPal/Project-2-MachineLearning-LinearRegression-TimeSeries
Predicting annual car sales from macroeconomic factors and Predicting MSRP of cars based on features, make and model
SamyPal/Project-3-ML-Classification
Project was used to build evaluate Framingham Heart Data to classify if an individual is risk prone to coronary heart disease.
SamyPal/Resume
Data_Scientist
SamyPal/SamyPal.github.io
Probing into the Data Scientist in me
SamyPal/DataScience_Resources
Resources for Data Science (ML, DL, Stats, SQL, Python, etc)
SamyPal/PriceTracker_EmailAlerts
This code checks price for a given product and emails user if price falls below a threshold value
SamyPal/Project-1-EDA
Exploring MTA data to optimize street campaign for signups to attend gala fundraiser for raising awareness for women in technology.
SamyPal/Project-5-NLP-RecEngine
EverythingAmazon-fromStockPerformance-toCustomerRecommendation
SamyPal/Project4-UnsupervisedLearning-NLP
Project to cluster SP500 stocks based on their daily market value, sentiment analysis of stock market, and topic modeling of financial news to separate stock market related news for the last 1 year and 5 years.
SamyPal/dsp
Metis Data Science Bootcamp - Official Prework Repository
SamyPal/EGSMetalRecovery
Model framework to Predict Energy Requirement for Metal Recovery from Enhanced Geothermal Fluids
SamyPal/Algos
Algos_Practice
SamyPal/autonomous_vehicle_tracker_project_oops
Demonstrate OOPS concepts on Autonomous Vehicle Tracking
SamyPal/autopep8
A tool that automatically formats Python code to conform to the PEP 8 style guide.
SamyPal/conNN_AdRecSystem
Utilizes Ad Rec System - based on input Images
SamyPal/cookiecutter
A command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, VueJS projects.
SamyPal/dask-tutorial-pycon-2018
SamyPal/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
SamyPal/IBM_Capstone_Project
SamyPal/IBM_Coursera_DataScience
Assignment Notebooks
SamyPal/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
SamyPal/learn_rust
A repository for my rust learning reference.
SamyPal/Machine-Learning-Concepts
Machine Learning Concepts with Concepts
SamyPal/NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
SamyPal/reformer-pytorch
Reformer, the efficient Transformer, in Pytorch
SamyPal/SQL-Practice
My SQL Practice
SamyPal/thinkstats-examples
Worked examples for exercises in Think Stats using the Scientific Python stack.
SamyPal/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
SamyPal/Topic-Modeling-on-Amazon-Reviews-using-LDA
As the players in the e-commerce market strive to stay competitive by using advanced machine learning techniques, we have tried to bring in a new perspective to analyzing customer reviews by bundling them into broad topics to get a better sense of customer experience.
SamyPal/topic_modelling_financial_news
Topic modelling on financial news with Natural Language Processing