how to perform t-testing & ANOVA
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Updated
Dec 5, 2021 - HTML
how to perform t-testing & ANOVA
Python web application for exploring and forecasting crime rates in NYC
Training a linear regression model using English Premier League (EPL) Soccer Data.
A simple linear regression machine learning model for predicting the total cases of pandemic from OWID dataset. Built using Python libraries (Pandas, NumPy, Statsmodels, Pickle, Matplotlib, Seaborn). Model is further represented as a Flask Web Application with a backend database connectivity to SQLite3 using SQLAlchemy. Later deployed to Heroku …
Skills: Python (Pandas, Numpy, Matplotlib, Seaborn, Sklearn, Statsmodels)
Analysis of the results of an A/B test for an e-commerce website.
I practiced hypothesis testing with Python.
A Data Science approach to predict house sales from given dataset. All steps from CRISP-DM Framework are accounted for and Linear Regression is used for modelling.
Data Manipulation, Descriptive Statistics, and Visualizations in Python.
Using Linear Regression to gather insights for Automobile Market Pricing using basic fundamentals of Data Science
website A/B test data analysis
Analyzing AB test results to make a recommendation on whether or not a new page should be implemented on an e-commerce site.
This Python Notebook was developed for a challenge: whose model is the most performant in predicting apartments' sale prices?
Data analysis of A/B test results for an e-commerce website
Sports Analytics in Python
Traditional Regression problem project in Python
This repository contains all practices from Time Series Forecasting topic of the MSc in Data Science
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