Code Monkey home page Code Monkey logo

Hello, I'm Parth Shah

Data Science | Machine Learning | Deep Learning

  • I'm a Data Science Practitioner who loves to uncover the hidden facts and meaningful insights from messy data.

  • Languages & Apptitudes :- Python | R | SQL | Tableau | AWS | TensorFlow/Keras | Numpy/Pandas/Matplotlib/Seaborn/Sci-Kit learn | Flask | Streamlit | C | Git | HTML/CSS | Microsoft PowerBI

  • Iā€™m currently learning Julia, PySpark, Hadoop, SAS

  • I am working towards a role where I can engage with a group of like-minded people who dream to bring revolution in the world with data.

  • Here is my Portfolio

  • Sometimes I write articles on Medium

  • How to reach me [email protected]

  • Fun fact If you catch me outside of work, I'm an adventurous traveller.

parthshah28

parthshah28

parthshah28_ Parth Shah _parthshah28 Parth Shah

Parth Shah's Projects

amazon_alexa_reviews icon amazon_alexa_reviews

Model for sentiment analysis and analyzing customer reviews how many positive reviews ? and how many negative reviews ?

bank_customers_segmentation icon bank_customers_segmentation

One of the key points for marketers is to know their customers and identify their needs. If the data about customers is available, data science can be applied to perform market segmentation.The marketing team wants to launch a targeted ad by dividing their customers into atleast 3 distinctive groups.

classify-song-genres-from-audio-data icon classify-song-genres-from-audio-data

Using a dataset comprised of songs of two music genres (Hip-Hop and Rock), I trained a classifier to distinguish between the two genres based only on track information derived from Echonest (now part of Spotify).I applied data preprocessing, dimensionality reduction and machine learning algorithms using scikit-learn package.

course_recommendation_system icon course_recommendation_system

This GitHub repository hosts a Course Recommendation System designed to enhance user experience on educational platforms, specifically utilizing the Udemy Dataset.

data-science icon data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-1 icon data-science-1

My notes pertaining to python programming, data analysis and visualization

data-science-ipython-notebooks icon 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, AWS, and various command lines.

data_science_blogs icon data_science_blogs

A repository to keep track of all the code that I end up writing for my blog posts.

dsa-notes icon dsa-notes

DSA notes of all the sessions taken by me on iNeuron Intelligence YouTube channel for community.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    šŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. šŸ“ŠšŸ“ˆšŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ā¤ļø Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.