about statistical techniques for Data Science
-
Updated
Nov 5, 2022 - Jupyter Notebook
about statistical techniques for Data Science
Prediction of Salary of individuals based on years of experience
R program to analyze and calculate statistical values given a dataset of home prices that include information about the number of baths, bedrooms, year, square-feet, taxes, and other features. Learn more:
This project conducts a thorough analysis of weather time series data using diverse statistical and deep learning models. Each model was rigorously applied to the same weather time series data to assess and compare their forecasting accuracy. Detailed results and analyses are provided to delineate the strengths and weaknesses of each approach.
Multi_Linear_Regression_on_Cars_data_to_predict_MPG
Prediction model for profit of 50_startups data
Feasibility of staring a Sunday edition for a large Metroplitan newsapaper
Prediction of Delivery Time of newspapers using Sorting Time
Prediction-model-for-predicting-Price-of-Cars
Biological network analysis of Mtb
Business Case : The Waist Circumference - Adipose Tissue
These are the solutions to the supplementary exercises for STA258. I automated the questions with things like pdf readers and functions built to answer all the questions. Please enjoy the fruit of my work. I maintain all "intellectual" property. All questions belong to Alison Weir.
In this project we have performed all types of feature transfromation on the titanic dataset and we have seen the usage of qqplot to check whether a feature is normal/gaussian distributed or not.
Add a description, image, and links to the qqplots topic page so that developers can more easily learn about it.
To associate your repository with the qqplots topic, visit your repo's landing page and select "manage topics."