deshmukhps95

backtobasics

daa_backtobasics

Implementation of Data structures and Algorithms

disaster-response-pipeline

The project contains ETL pipeline, ML pipeline and a python Flask Web App and it leverages disaster response dataset provided by Appen.

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

encryption_algorithms

java implementation of symmetric and asymmetric key algorithms

ml-statistics

This repository consists of sample implentation of stastical concepts required for machine learning. Selective Hackerrank problems are solved in respective jupyter notebook for each concept.

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

sparkify

This is "Udacity Data Scientist Nanodegree" Capstone project. It leverages 'Spark' big data framework. 'Sparkify' is an imaginary music streaming service that logs every user action as an event. The challenge is to use pyspark - Spark API in the python to extract insight and create meaningful features from raw data that allow us to predict which customer will cancel the service.

text-analysis-and-classification-gui-tool

Text Analysis and Text Classification GUI is a python application which has Data Analysis, Model Selection, Training and Prediction pipelines built in it. This tool is helpful in retraining the models on new data and modified classes and compares the performance of new models with previous models.

write-a-data-science-blog-post

This project is a part of Udacity Data Scientist Nanodegree program. Red wine quality data is explored using python. Exploratory data analysis, feature engineering and modelling code can be found in the jupyter notebook.

deshmukhps95/Statistics-for-Machine-Learning

Statistics for Machine Learning, published by Packt

deshmukhps95/disaster-response-pipeline

The project contains ETL pipeline, ML pipeline and a python Flask Web App and it leverages disaster response dataset provided by Appen.

deshmukhps95/ml-statistics

This repository consists of sample implentation of stastical concepts required for machine learning. Selective Hackerrank problems are solved in respective jupyter notebook for each concept.

deshmukhps95/sparkify

This is "Udacity Data Scientist Nanodegree" Capstone project. It leverages 'Spark' big data framework. 'Sparkify' is an imaginary music streaming service that logs every user action as an event. The challenge is to use pyspark - Spark API in the python to extract insight and create meaningful features from raw data that allow us to predict which customer will cancel the service.

deshmukhps95/write-a-data-science-blog-post

This project is a part of Udacity Data Scientist Nanodegree program. Red wine quality data is explored using python. Exploratory data analysis, feature engineering and modelling code can be found in the jupyter notebook.

deshmukhps95/analytics_vidhya_jobathon

deshmukhps95/awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

deshmukhps95/bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

deshmukhps95/connections

https://rstudio.github.io/connections/

deshmukhps95/content-based-movie-recommendation-system

Content Based Movie Recommendation System Using Python, Flask, PostgreSQL

deshmukhps95/create-your-own-adventure

This is example repo illustrates the concept of a "Pull Request", created as part of the course How to Use Git and GitHub

deshmukhps95/dash-sample-apps

Open-source demos hosted on Dash Gallery

deshmukhps95/Data-science-best-resources

Carefully curated resource links for data science in one place

deshmukhps95/data-science-question-answer

A repo for data science related questions and answers

deshmukhps95/data-scientist-roadmap

Toturials coming with the "data science roadmap" picture.

deshmukhps95/deshmukhps95.github.io

Developer Portfolio

deshmukhps95/factory_bot

A library for setting up Ruby objects as test data.

deshmukhps95/Feature-Selection-for-Machine-Learning

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

deshmukhps95/handle-missing-values

Python package for Handling missing values

deshmukhps95/MLFlowProject

Sample MLFlow project

deshmukhps95/MovieTweetings

A Live Movie Rating Dataset Collected From Twitter

deshmukhps95/nativeauthenticator

JupyterHub-native User Authenticator https://native-authenticator.readthedocs.io/en/latest/

deshmukhps95/python-deepdive

Python Deep Dive Course - Accompanying Materials

deshmukhps95/Python-Practise-Problems

deshmukhps95/recommendations-with-ibm

deshmukhps95/scikit-learn

scikit-learn: machine learning in Python

deshmukhps95/stackoverflow

Findings from Stackoverflow 2017

deshmukhps95/TeachingDataScience

Course notes for Data Science related topics, prepared in LaTeX

deshmukhps95/test-repo

deshmukhps95/the-gan-zoo

A list of all named GANs!