Topic: statsmodel Goto Github
Some thing interesting about statsmodel
Some thing interesting about statsmodel
statsmodel,Udacity Data Analyst Nanodegree - Project III
User: abhishek20182
statsmodel,Random Good Data Science Stuff
User: akhilpatlolla
Home Page: https://akhilpatlolla.github.io/Random-Good-Data-Science-Stuff/
statsmodel,Upgrad and IIITB Assignment - Linear Regression model for a US bike-sharing provider BoomBikes
User: arnabberawork
statsmodel,In this project I predict the 2016 MLS season using historical data and Poisson regression. The project includes cleaning, preprocessing and analyzing the dataset, building and evaluating predictive models for match outcomes, forecasting team performance and simulating the league table. It uses Pandas, Numpy, MatPlotLib and StatsModel libraries.
User: brprojects
statsmodel,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.
User: deepakrameshgowda
statsmodel,Human Data Science Course Project A.Y. 2022/2023 @ Alma Mater Studiorum University of Bologna - UNIBO
User: diegoconce
statsmodel,A trading algorithm that identifies stocks with the largest potential for growth while heavily considering its volatility using quantopian
User: dmaity612
statsmodel,Data Science: Storytelling and Deployment - analyzing LEGO Database with Streamlit.
User: dpassos91
Home Page: https://dpassos91-lego-dashboard-home-wz3o6r.streamlit.app/
statsmodel,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.
User: elliott-dev
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.
User: elliott-dev
statsmodel,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 Model Predictions using simple linear regression.
User: hmulagund
statsmodel,Time Series Analysis
User: itsfk
statsmodel,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.
User: jpadillo
statsmodel,Our group chose this question to bring attention to the little knowledge that young loan applicants have. Based on our findings in our models we explore: Which age group is the least likely to apply for loans? Which group is most likely to default on loans?
User: ltayara1
statsmodel,MLR Statistical Analysis and Prediction of Ames Real Estate Prices with Streamlit
User: manalelaidouni
statsmodel,A regression based modeling project to forecast the sales of Walmart
User: manaliagarwal
statsmodel,Prediction of nitrogen dioxide concentration in air using linear regression.
User: mvikic
statsmodel,Analyze online shoppers' purchase intentions using Logistic Regression, K-means clustering & A/B Testing
User: nitinjosephrepo
statsmodel,My notes in Jupyter Notebooks for statistics, probability, and plotting applied with major python libraries as an introduction to machine learning.
User: ozgurkalan
statsmodel,The objective is to build a ML-based solution (linear regression model) to develop a dynamic pricing strategy for used and refurbished smartphones, identifying factors that significantly influence it.
User: rochitasundar
statsmodel,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).
User: saad-hussain31
statsmodel,This repository describes the implementation of Machine Learning techinques using the Statsmodels pacakge
User: sednabcn
statsmodel,House price prediction using Linear Regression models (scikit learn and statsmodel)
User: shashankvmaiya
statsmodel,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
User: shwetapardhi
statsmodel,An implementation of an ARIMA time series forecast using Python statsmodels and scipy.
User: siddhant-ray
statsmodel,This dataset provided by Udacity in their data analyst course proivdes a walkthrough of an AB test for customer conversion.
User: smcgb
statsmodel,A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these.
User: usama-tariq
Home Page: https://www.udacity.com/course/data-analyst-nanodegree--nd002
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