30daysofml

This is a 30-day challenge to myself motivated to learn new and interesting things in Data Science and share those with everyone in my network.

boston_airbnb_feature_engineering

boston_crimes

causal-modeling-airbnb-data

This project aims to help prospective Airbnb hosts maximize their return on investment using Causal data science Analysis, by helping them identify properties that would generate maximum return on investement.

codechunks

credit-card-customer-segmentation

credit-risk-analysis

customer-churn-prediction

Churn analysis is the evaluation of a company’s customer loss rate in order to reduce it. Also referred to as customer attrition rate, churn can be minimized by assessing your product and how people use it. In this project, I aim to predict the retention rate for a job board dataset.

deep-image-prior

deep-learning-specialization

This repo consists of the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects.

exploratory_and_dataanalysis_of_brazillian_ecommerce_data

This projects aim to analyze and visualize the eCommerce Brazilian company dataset to increase the sales of the company and help in expansion and better employee retention. It also studies the sentiments of the customer using sentimental analysis and classifies the sentiments into positive, negative and neutral class.

hadoop-mapreduce-examples-python

All the Hadoop Mapreduce examples in python!

healthcare-entity-and-relationship-extraction-on-clinicaldata

This project aims to perform Named entity and Relationship extraction on EHR data using existing biomedical deep learning model, BioBERT and find the latent information present in the data using topic modeling. Market basket analysis is used to uncover the relationship between extracted entities.

hollywood_movie_rating_prediction

The aim of this project was to predict the rating of the movie from 1 to 9 (1 being the best and 9 being worst) using the various features of the movies.

hospital-mortality-prediction

Hospital Mortality is a serious topic which is a life and death event thus in this project I am studying hospital data and patient information to predict hospital mortality.

merger_and_aquisition_prediction

This project predicts whether a company would take part in the Merger and Acquisition prediction or not. We can also recommend companies by considering various factors on the basis of which a company could merge or acquire other companies using ML.

portfolio

resume

sales-success-prediction-on-marketing-data

This project is about measuring the success of marketing efforts by checking the call success probability for the company. I used Python for data analysis and Machine Learning for modeling and predicting whether the call will be successful or not.

sonaljain2212

sonaljain2212.github.io

tv-show-character-prediction-using-nlp

This project aims to predicts "Which Character are You?" as to which Seinfeld character would be most likely to say the sentence/joke that was entered.

universal-sentiment-analyzer

Universal Sentiment Analyzer - A Streamlit app based on Python to perform basic to some advance functionality in the field of Natural Language Processing

walmart-sales-forecasting

This project will present the right methodologies to analyze time-series sales data and predict 28 days ahead point forecasts for the company to take strategic decisions based on the predictions.