Implementation of several ML models on real-world datasets with detailed explanation in notebooks.
-
Updated
Aug 5, 2022 - Jupyter Notebook
Implementation of several ML models on real-world datasets with detailed explanation in notebooks.
Notebooks and Data for ICA's course on IA
Example notebooks to produce the models used in the SexEst web application.
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.
Data Science
Machine Learning IPython Notebooks
Notebooks of personal projects.
This repository will have twitter sentiment analysis present on analytics Vidya hackathon. This Jupiter notebook mainly showcase classification algorithms.
Notebook for all ML exercises
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.
Data analysis and data science notebooks
Interactive Jupyter Notebooks for MATH 6388: Statistical and Machine Learning at CU Denver
Scikit-learn (sklearn) projects in form of Jupyter Notebooks
Explore and understand the Machine Learning concepts through the prism of sklearn, one notebook at a time.
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.
A google colab notebooks repository for tutorials on various machine learning techniques.
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…
A COVID-19 tracker utilizing machine learning for visualization and projection of confirmed, deceased, and recovered cases.
Using this notebook we can learn simple SCIKIT-LEARN for Data science and Machine learning
Counting the upvotes of any sites using traditional upvoting system such as Stack Overflow
Add a description, image, and links to the scikitlearn-machine-learning topic page so that developers can more easily learn about it.
To associate your repository with the scikitlearn-machine-learning topic, visit your repo's landing page and select "manage topics."