Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
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Updated
Jul 20, 2024 - Jupyter Notebook
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Football Match prediction using machine learning algorithms in jupyter notebook
Notebook for quick search
Karma of Humans is AI
Coursera IBM ML course projects with notebooks
This is a repository with various classifier written in jupyter notebook that works on hand written digits images.
This repository has python notebooks covering different machine learning algorithms with code explanations and data insights. I have tried to include possible error pitfalls and proposed a solution around them wherever possible.
This repository contains the Python code for implementing facial recognition in Jupyter Notebook using both Machine Learning classification algorithms and neural networks. It also contains a CSV of facial data for classifying faces using the Python code. Feel free to copy the files and start recognizing faces!
A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these. For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through this notebook to help the company understand if th…
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
General Purpose Machine Learning Algorithms and Applications in Python developed using numpy, scipy and matplotlib libraries implemented in Jupyter Notebooks
This work aim to, on one side, the backend code develop on Python Notebook (code_credit_scoring_np.ipynb), for reason of readability, to find the best Hyperparameter in order to achieve the best forecast for the credit scoring with algorithm we analize during the thesis
Repository of all notebooks used in the ML-DL101 event for explaining basics of machine learning and deep learning.
This Repository consist of some popular Machine Learning Algorithms and their implementation of both theory and code in Jupyter Notebooks
The repository contains various python jupyter notebooks of predicting different medical diseases from various open source datasets.The following medical diseases predicted are cancer,,diabeties,kidney diseases,heart disease,liver diseases,spine disease using variou machine learning classification algorithms like KNN,Logistic Regression,Support …
Analyzing App Activity using Python Jupyter Notebook, Pandas, Seaborn, PostgreSQL, Windowing Function, Predicting futurre activities using Logistic Regression
This repository holds some of the notebooks I use to study some data for the CMU Data Science Club.
Machine Learning exercises in Python (Jupyter notebooks)
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