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  1. Using Selenium, Neha scraped data about 35 top selling sneakers of Nike and Adidas from stockx.com. She used this data to draw insights about sneaker resales.

    Python 12 4

  2. Forked from amueller/introduction_to_ml_with_python

    Notebooks and code for the book "Introduction to Machine Learning with Python"

    Jupyter Notebook 1 1

  3. Forked from selmiyoussef/data-science-ipython-notebooks

    Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

    Python 1

  4. This repository contains the files for my Shiny App, "Visualizing Foursquare Check Ins - NYC Edition" and the dataset that I used.

    R

  5. Forked from HiddenFigure/Neha_MachineLearningProject

    https://www.kaggle.com/c/house-prices-advanced-regression-techniques#evaluation

    Jupyter Notebook

24 contributions in the last year

Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr Mon Wed Fri

Contribution activity

April 2019

Opened their first pull request on GitHub in conferencegate/project

Neha Chanu created their first pull request!

First pull request

Qjs extension

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