This Python Notebook was developed for a challenge: whose model is the most performant in predicting apartments' sale prices?

jupyter notebooks on COVID-19 projections

General statistics and mathematical concept notebooks in Python

Laboratory works and learning of Data Science (MS PowerBI, Jupyter Notebook, scipy, sklearn, statsmodels, pandas, matplotlib etc)

An econometrics vector autoregression model (VAR) for analysis of multivariate time series of macroeconomics phenomena. Python Jupyter notebook based model is presented here although other packages like R statistical programming language with R Studio could also be used.

In this notebook we would try to modify or transform our dependent variable to rectify the model and at last create a better suited regression model as compared to other. We will just take the natural logarithm of the dependent variable and it will solve the problem of conical spread of datapoints in standard residual plot. It means that our cur…

This repository contains Jupyter notebooks with comment lines, comment cells and outputs that explain the functionality of different libraries in Python. These 'cheat sheets' include basic Python programming, Numpy, Pandas, Matplotlib, Seaborn and more. I hope it guides you to start your programming experience! Below you have more details of the…

This is a tutorial in an IPython Notebook for the Kaggle competition, Titanic Machine Learning From Disaster. The goal of this repository is to provide an example of a competitive analysis for those interested in getting into the field of data analytics or using python for Kaggle's Data Science competitions .

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Forecasting future sales of a product offers many advantages. Predicting future sales of a product helps a company manage the cost of manufacturing and marketing the product. In this notebook, I will try to you through the task of future sales prediction with machine learning using Python.

This repo contains a Jupyter Notebook that determines the best single feature to predict car insurance claim outcomes.

In this Jupyter notebook I was trying to analyze the relationship between sales of innerwear items and other factors such as pricing and rating. The primary dataset that was used as the base of this project consists of sales data from Amazon.com for the period of June-July 2017.

This repo contains the project jupyter notebooks and data files to view and re-run my analysis of the flight data.

🚀 Unveiling Stock Market Insights with RNNs: A concise exploration of LSTM and GRU models for stock price prediction, featuring a research paper and Jupyter Notebook. 💹📈

This repository contains a Jupyter Notebook performing Time-Series Analysis project focused on weather forecasting,

Recently inflation is a popular topic in Poland and is highest since 2001. Experts presume inflation in Poland should continue to rise, and by the end of 2021 it will be close to 8%. This notebook aims to develop a forecasting model for time series using Python.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Jupyter notebooks, accompanying the FinDS Python repo: contains code examples and results for 30+ financial data science projects

Python Scripts and Jupyter Notebooks for Prof. Robert Wrobel's Applied Business Statistics course at Webster University and anybody else who wants to learn!