prachibari Goto Github PK

airplane_severity

amazon_food_reviews

Amazon Food Reviews Analysis

amazonsagemakercourse

SageMaker Course Material

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

aws-research-workshops

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.

black_friday_sales

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_ann

Churn Modelling using Artificial Neural Networks . Predicting whether the customer will exit or not.

codinginterviews

This repository contains coding interviews that I have encountered in company interviews

comic

Comic details from website

credit_default

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.

dash_demo

data-science--cheat-sheet

Cheat Sheets

data_structures_python

This repository contains implementation of data structures in python

dog_cat_classification_cnn

Classification of images dogs or cats using Convolutional Neural Networks.

dp100

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

dynamic-programming

Practice problems on dynamic programming

expedia_ctr_prediction

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.

fashion_mnist_ann

Classification of fashion category using Artificial Neural Network.

fashion_mnist_cnn

Classification of fashion category using Fashion Mnist Dataset and Deep Learning

hackerrank

hackerrank practice problems python

interview

Everything you need to kick ass on your coding interview

introduction-to-time-series-forecasting-python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

itinerary_planner

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.

loan_default

Prediction of Loan Default

loan_default_lendingclub

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

MiWork Multi Screen App

most_popular_superhero_pyspark

Given a graph of super hero's appearing together in a file find the most popular super hero.

movie-reviews-sentiment-analysis

Classify sentiments as positive or negative

movie_recommendation_als

Movie recommendations using IMDB movies dataset using pyspark ALS algorithm.

news_summarisation

Extractive News Summary using Text Rank algorithm