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scikitlearn

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This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content

  • Updated Sep 17, 2024
  • Jupyter Notebook

Drilling Activity Prediction: Oil and Gas operations are dramatically affected by supply, demand and several other factors that compromise the operational planning of resources. To overcome this challenge, predictive analytics could be applied to forecast rotary rig count inside United States using time-series data.

  • Updated Sep 7, 2024
  • Jupyter Notebook

In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.

  • Updated Aug 17, 2020
  • Jupyter Notebook

Explore a comprehensive collection of Python programming for diverse data analysis and data science projects. This repository covers data exploration, visualization, statistical analysis, machine learning, NLP, and model deployment. Perfect for enthusiasts looking to delve into practical examples and advanced techniques.

  • Updated Jul 5, 2024
  • Jupyter Notebook

This project helps to model the data of house rent as function of different parameters of the property. Various models have been used to demonstrate the accuracy of different algorithms. All the instructions regarding the project are included in the Google Colab File.

  • Updated Jun 20, 2023
  • Jupyter Notebook

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