prachibari Goto Github PK
Name: Prachi Bari
Type: User
Bio: Python Developer
Name: Prachi Bari
Type: User
Bio: Python Developer
Amazon Food Reviews Analysis
SageMaker Course Material
A curated list of awesome Deep Learning tutorials, projects and communities.
This repo provides a managed SageMaker jupyter notebook with a number of notebooks for hands on workshops in data lakes, AI/ML, Batch, IoT, and Genomics.
Used Regression Algorithms like Linear Regression, Random Forest and Boosting to predict Sales on Black Friday(Dataset had 5 lack records). Did feature engineering and achieved a reasonable RMSE of 2866 and was ranked 726 in the Analytics Vidya Hakathon. Lowest RMSE was 2405.
Churn Modelling using Artificial Neural Networks . Predicting whether the customer will exit or not.
This repository contains coding interviews that I have encountered in company interviews
Comic details from website
Used Logistic Regression to detect credit defaulters based on 6 months payment data of the customers. Performed feature engineering, handled missing values, skewed class and achieved a reasonable accuracy of 76, precision and recall of 76 and ROC of 69.
Cheat Sheets
This repository contains implementation of data structures in python
Classification of images dogs or cats using Convolutional Neural Networks.
Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure
Practice problems on dynamic programming
Classification task to predict whether the user will click on the add or not. This dataset has 32 lakh rows. Handled class skew, did feature engineering and created various graphs to gain insights of the data.
Classification of fashion category using Artificial Neural Network.
Classification of fashion category using Fashion Mnist Dataset and Deep Learning
hackerrank practice problems python
Everything you need to kick ass on your coding interview
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
Trip Planning Application. Allows users to explore top attractions across different cities. Users can create their itinerary. An optimized route will be mailed to the user and recommendation based on other users is also provided.
Prediction of Loan Default
This project was built in python to classify loan defaulters. The dataset has about 4 lakh records. Have used Logistic Regression, Decision Trees and Random Forest models and achieved a reasonable accuracy of 0.75 and ROC of 0.65.
MiWork Multi Screen App
Given a graph of super hero's appearing together in a file find the most popular super hero.
Classify sentiments as positive or negative
Movie recommendations using IMDB movies dataset using pyspark ALS algorithm.
Extractive News Summary using Text Rank algorithm
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.