Scikit-learn tutorial at SciPy2016
-
Updated
Feb 6, 2017 - Jupyter Notebook
Scikit-learn tutorial at SciPy2016
Contains all the scripts used to analyze the csv file and derive insights.
Basic excercises of NLP, Numpy, Pandas, Linear Regression
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
A tool that shows current captured data in the form of pie charts , bar graphs and line plots using matplotlib in python .
Plotting temperatures in the New Orleans area for the period 2005-2015 using matplotlib
Custom QWidget for displaying historical stock graphs
Exploring the domain of Unsupervised learning via Clustering.
A Python based script to download and visualize AWS EC2 spot instances prices
Kaggle's 'Bike Sharing Demand' competition
Implementing Different types Machine learning algorithms
Dataquest data scientist track project on SQL fundamentals Analyzing CIA Factbook Data using SQLite and Python.
Blog Code
A Bootstrap website to display plots generated from API weather data.
Applied machine learning coursera materials
Machine Learning, Classification problem. https://archive.ics.uci.edu/ml/datasets/Adult Abstract: Predict whether income exceeds $50K/yr based on census data. Also known as "Census Income" dataset.
tutorials for easy understanding of matplotlib and seaborn commands for graph plotting
This application will create the QR code for the required textual content or url links using python
Add a description, image, and links to the matplotlib-figures topic page so that developers can more easily learn about it.
To associate your repository with the matplotlib-figures topic, visit your repo's landing page and select "manage topics."