Assignment-04-Simple-Linear-Regression-1 Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Mod…

Human Data Science Course Project A.Y. 2022/2023 @ Alma Mater Studiorum University of Bologna - UNIBO

Model to identify the potential lead by assigning a score for their rate of conversion. Therefore, reaching out to potential is no more a brainstorming task.

A data analytics project that utilizes PANDAS, Numpy, Matplotlib and statsmodel to analyze the results of hypothesis testing and regression modeling in determining whether a website update should be launched.

Time Series Analysis

A predictive machine learning model to forecast the Algerian Forest Fire FWI using Python, Scikit-learn, and Statsmodels. Includes complete data cleaning and EDA.

I perform a retrospective analysis on the linear regression analysis that I previously performed on the NYC Bike Counts dataset. Specifically, I analyze my linear regression analysis to identify anything that I could have done differently.

End-to-end pairs-trading research framework: data acquisition, cointegration-based pair selection, vectorized backtests, analytics, and publication-ready figures (Python 3.10+).

Linear Regression Bike sharing Assignment

Analyze online shoppers' purchase intentions using Logistic Regression, K-means clustering & A/B Testing

Data Science: Storytelling and Deployment - analyzing LEGO Database with Streamlit.

Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi

I am interested in predicting whether an individual will default on his or her credit card payment, on the basis of annual income and monthly credit card balance. First I will use Logistic regression with 1 feature only (balance) and then multiple logistic regression with 2 features (balance and income).

MLR Statistical Analysis and Prediction of Ames Real Estate Prices with Streamlit

This repository describes the implementation of Machine Learning techinques using the Statsmodels pacakge

This dataset provided by Udacity in their data analyst course proivdes a walkthrough of an AB test for customer conversion.

Time-Based Analysis projects using pandas, scikit-learn and statsmodel.tsa

House price prediction using Linear Regression models (scikit learn and statsmodel)

I used the New York Bike Counts dataset to formulate a hypothesis about the number of bikes crossing the Brooklyn Bridge. This dataset contains the number of bikes that crossed each bridge during each day. I first used this dataset to formulate a hypothesis and then used linear regression to test if my hypothesis was correct.