Investigating Udacity student engagement and performance.
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Updated
Oct 23, 2017 - Jupyter Notebook
Investigating Udacity student engagement and performance.
Here is the list of datasets along with the worked examples of various machine learning algorithms in jupyter notebook
Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.
📓 Visualization and training a basic ML model on the Iris dataset
This jupyter notebook is for visualising the climate change in the years from 1750 to 2015.
🚨 👮 🕵️♂️ A simple project based in Data Science and Data Analysis for Criminology and Forensics worldwide. This project was built using Jupyter Notebook and Python, with the support of some libraries for Data Science and Data Visualisation, like NumPy, Matplotlib and Pandas. This project shows an intensive and detailed study case about some ind…
Jupyter notebooks for demonstration of data analytics using python
Data Analysis of Uber Trips Using Pandas and Python on Jupyter Notebook
Data analytics ipython notebooks
Notebook that predicts the rate of the book from using different machine learning models.
Shallow and Deep Learning resources. Programming Language: Python 3.7 and R | IDE: Jupyter Notebook and RStudio
Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.
MIT Data Analysis for Social Science Notes
Covid-19 data analysis notebook.
Fictional purchasing reports from a fictional video game. The reports were generated using Python, Pandas, Numpy, and Jupyter Notebook.
Data parsing with pandas in jupyter notebook.
Practice Jupyter notebooks
Customer analytics using SQL inside a Jupyter notebook.
Jupyter Notebook kernel exploring sales of Toyota Corolla. The exercise contains various Machine Learning Linear Regression algorithms that have been used to predict the sale price of Toyota Corolla.
Jupyter Notebook kernels containing Regression and Classification Machine Learning algorithms to predict house prices
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