Turning salesforce lead, oppty, & sales activities data => Sales predictions using pandas, Scikit-learn, SQLAlchemy, Redshift, XGBoost Classifier
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Feb 26, 2021 - Jupyter Notebook
Turning salesforce lead, oppty, & sales activities data => Sales predictions using pandas, Scikit-learn, SQLAlchemy, Redshift, XGBoost Classifier
Turning raw kickstarter text data => Campaign predictions using SpaCy, Scikit-learn, SQLAlchemy, SQLite3 & XGBoost Classifier (feat eng = Bag-of-Words, Tfdvectorizer)
Portfolio of personal projects & curriculum from Springboard
Kaggle Competition: Online Auction Analytics
Brewery review analysis and summarization with NLP - Springboard Data Science Career Track - April 2020 Cohort - Final Capstone
This repository Includes Data Analysis of Engineering Colleges of India, Data Analysis of a Sports Facility using SQL, Data Analysis of Financial market Data using Quandle API. Skills used in this project are Requests Library, Data wrangling, Data Analysis of GSS(Global Social Survey) dataset using R and Hypothesis Test(Chi - Squared Test) and D…
Intermediate Data Science Mini-Projects with Python | Springboard 2019
Portfolio of case studies and mini-projects covering a wide range of industries and problem domains completed as part of the Springboard Data Science Career Track
First Capstone for Springboard Career Track: Predicting book ratings from Amazon review text
SpringBoard's Data Science Career Track
Call center statistical analytics for staffing level.
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