Data Science Portfolio

I have created this Repository containing my portfolio on my data science projects for academic, self learning, and hobby purposes.

Project details are presented in the form of iPython Notebooks.

Note: Data I have used in the projects is for demonstration purposes only.Data can be accessed under data directory.

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Contents:

• Articles

  • Understanding Precision and Recall: - A blog to help you understand the need of metrices other than accuracy while evaluating any classification model.

  • Optimizing EDA using Functions in Python: - A collection

• Machine Learning projects

  Tools: scikit- Python, sql, Tableau

• Data Analysis and Visualisation

  Tools: Pandas, Seaborn and Matplotlib

  • Optimizing EDA using Functions in Python: - A collection

  • ML with KNN (IRIS dataset): - Project using K Nearest Neighbours algorithm to predict IRIS flower type.

• Natural Language Processing

  _Tools: NLTK, scikit_learn, Tweepy

  • Twitter text analysis (twitter dataset): Live data extraction and than working on to clean and then visualize in plot and as a WordCloud.. will further add the sentiment analysis of the same. Python code using tweepy library to extract twitter codes : - Use this python code and replcae the values to fetch data from twitter.

• Deep Learning

  _Tools: scikit-learn, tensorflow, , keras, , Matplotlib

  • Digit recognition using Google Collab (MNIST dataset): - Google Collab is an awsome platform for building models and to use google tools. I tried to create a digit recognition model using Google TPU.

• Visualization (Tableau)

  • Presenting the analysis using story and dashboards (superstore dataset): - A submission for superstore dataset.

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If you liked what you saw, want to have a chat with me about the portfolio, work opportunities, or collaboration, shoot an email at rohitpant127@gmail.com.