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scikitlearn-machine-learning

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Statistical Analysis Mastery: Hypothesis Testing & Regression Analysis Dive into the world of statistics and machine learning with this thoughtfully curated repository designed for learners, professionals, and data enthusiasts alike. Unlock the power of data-driven decision-making by mastering hypothesis testing and regression techniques.

  • Updated Jan 24, 2025
  • Jupyter Notebook

I have tried to predict the survival of passengers on the Titanic using various techniques and machine learning algorithms. This is currently a on-going competition on Kaggle and I have got a best score of 0.83253 (top 2%) out of 11262 teams. I will be making modifications to improve the score.

  • Updated May 12, 2018
  • Jupyter Notebook

Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.

  • Updated Apr 17, 2018
  • Jupyter Notebook

The project is a simple sentiment analysis using NLP. The project in written in python with Jupyter notebook. It shows how to do text preprocessing (removing of bad words, stop words, lemmatization, tokenization). It further shows how to save a trained model, and use the model in a real life suitation. The machine learning model used here is k-N…

  • Updated Mar 15, 2022
  • Jupyter Notebook

✨ Description Simplify your data analysis process with PyForest, a Python library that auto-imports essential tools like pandas, NumPy, and Matplotlib. This project focuses on exploring and visualizing datasets efficiently, providing quick insights through powerful visualizations and statistical summaries.

  • Updated Jan 24, 2025
  • Jupyter Notebook

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